Snowflake appoints Vijayant Rai as the new Managing Director for India

New Delhi, India – January 10, 2024Snowflake, the Data Cloud company, announced the appointment of Vijayant Rai as the new Managing Director, responsible for driving the business growth and Go-To-Market strategy for Snowflake in India. Vijayant will be succeeding Vimal Venkatram, who has moved to a regional role for Snowflake based in Singapore.

With over 27 years of extensive experience in senior sales positions across leading companies, driving new business and revenue growth, expanding business in India, and attracting and retaining talent. Vijayant comes with a wealth of expertise in driving business transformation for customers. He will spearhead Snowflake’s business expansion across India, overseeing strategy, sales  and execution, fostering strategic partnership engagements across the country, and driving the adoption of Snowflake’s Data Cloud across various industries, such as retail and CPG, manufacturing, public sector,  startups, healthcare, pharmaceuticals,  and BFSI.

“India is a dynamic growth market that is rapidly transitioning to a data-driven economy”, said Vijayant.  ”As Managing Director, my primary focus will be to help our customers fully mobilize their data into successful business outcomes. I am excited to join Snowflake at this pivotal point. Snowflake recently announced a slew of new features, including Snowflake Cortex currently in private preview, that facilitates businesses with swift development of AI applications, further bolstering their commitment to driving innovation in the Indian market. I look forward to working with the talented team at Snowflake India  to support our customers in their quest for growth,” he added.

Speaking on Vijayant’s appointment and Snowflake’s commitment to India, Sanjay Deshmukh, Senior Vice President of ASEAN and India, added “Vijayant’s extensive experience in India of  doing leadership roles with leading global technology organizations and helping customers in accelerating their transformation journey makes him the perfect fit for leading Snowflake in India. We believe that our business in India is at an inflection point of wider adoption across all industries, and with Vijayant’s successful track record in building and scaling businesses, we are confident that he will spearhead our expansion in the local market and drive strong growth across all of our portfolios.”

Before joining Snowflake, Vijayant served as the Executive Director for Microsoft India, and was the Country Leader for the BFSI industry segment in the company. Prior to this, he also held leadership roles in Salesforce, SAP, and CA Technologies.


About Snowflake

Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 647 of the 2023 Forbes Global 2000 (G2K) as of October 31, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com

 

Contact:

Fatima Adam

[email protected]

Snowflake Achieves FedRAMP High Authorization on AWS GovCloud US-West and US-East

FedRAMP High Authorization solidifies Snowflake’s status as a trusted data platform used by the United States government to securely guard its most critical data

No-Headquarters/BOZEMAN, Mont. – DECEMBER 11, 2023 – Snowflake (NYSE: SNOW), the Data Cloud company, has received FedRAMP® High Authorization on the AWS GovCloud (US-West and US-East Regions). 

The Federal Risk and Authorization Management Program (FedRAMP) is a government-wide program that provides a standardized approach to security assessment, authorization, and continuous monitoring for cloud products and services. This authorization enables Snowflake to protect some of the federal government’s most sensitive unclassified data across cloud computing environments

With this latest authorization, Snowflake is able to offer its Government & Education Data Cloud for Federal Government, State, Local & Education workloads. Snowflake will also be able to handle new types of critical data, including data used by law enforcement, emergency services, and healthcare, and enable governments and organizations to leverage it for high-impact data analytics and AI. 

“The availability of public sector data is key to growing the economy, increasing government effectiveness, and facilitating better oversight and transparency.” said Jeff Frazier, Head of Global Public Sector at Snowflake. “With FedRAMP High Authorization, Snowflake will continue to work closely with the Federal Government and its partners to break down critical data silos to enable a more modern, effective government.”

“Snowflake’s FedRAMP High Authorization is another recognition for the company’s continuous focus on leveraging data without compromising on governance and security,” said Monica McEwen, managing director, Deloitte Consulting LLP. “Together, we’ll be able to expand on our joint efforts to help the federal government through every stage of the modernization journey and unlock value from the most sensitive data.”

In addition to receiving the FedRAMP High Authorization, Snowflake recently announced the enhancement of its governance capabilities at its virtual 2023 Snowday event. Snowflake Horizon is Snowflake’s built-in governance solution with a unified set of compliance, security, privacy, interoperability, and access capabilities in the Data Cloud. Snowflake Horizon makes it easy for customers to govern and take immediate action on data, apps, and more across clouds, teams, partners, and customers. 

With support for critical workloads, including data warehousing, data lake, data engineering, artificial intelligence and machine learning (AI/ML), collaboration, cybersecurity, and applications, Snowflake’s Government & Education Data Cloud continues to support a data-informed government. Snowflake’s platform has also achieved StateRAMP® High, as well as support for regulated workloads subject to Department of Defense Impact Level 4 (DoD IL4), International Traffic in Arms Regulations (ITAR), Criminal Justice Information Services (CJIS), Internal Revenue Service (IRS) Publication 1075, and Federal Acquisition Regulation (FAR) and Defense FAR Supplement (DFARS) safeguarding requirements across certain U.S. government-designated regions.

Snowflake enables public sector organizations at every level to securely share data intra- and cross-agency, across the cloud, and with their ecosystem partners for improved resiliency and enhanced mission outcomes. 

Learn more:

  • Learn more about Snowflake’s Government & Education Data Cloud here.
  • Find out how Snowflake is leveraging modern data to advance national defense.
  • Read more about how Snowflake is empowering federal government agencies for the cloud era here.

 

About Snowflake

Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 647 of the 2023 Forbes Global 2000 (G2K) as of October 31, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com

 

Media Contact
Maddie McGrath

Partner PR Lead, Snowflake

[email protected] 

 

Source: Snowflake Inc.

Snowflake Ranked #1 on 2023 Fortune Future 50 List

 

Annual Fortune list recognizes Snowflake as the leading company with the capability to deliver sustained long-term growth in the era of generative AI  

No-Headquarters/BOZEMAN, Mont. – December 5, 2023 – Snowflake (NYSE: SNOW), the Data Cloud company, today announced that it was awarded the number one spot on the 2023 Fortune Future 50 list. The annual list from Fortune recognizes leading publicly traded companies based on a market-based assessment of a company’s growth potential, and its capacity to deliver against that potential. Among the focuses of this years’ list includes companies driving the future with generative AI. 

Snowflake has transformed the data industry with Snowflake Data Cloud, a global network that connects organizations to the data and applications most critical to their business. The Data Cloud enables a wide range of possibilities, from creating a real-time data backplane for the modern enterprise, collaborating over content with partners and customers, integrating external data and applications for fresh insights, to simplifying the complexity of generative AI – all from Snowflake’s single, cross-cloud platform. This accolade from Fortune is a testament to the incredible opportunity ahead as Snowflake empowers customers across industries to more easily mobilize data and AI for business value. 

“In this new AI era, generative AI and large language models will reshape how we live, work and do business. But there is no AI strategy without a data strategy,” said Sridhar Ramaswamy,  SVP of AI at Snowflake. “We are honored to be named at the top of Fortune’s Future 50 list and look forward to continuing to help customers solve their biggest problems and deliver real value using AI.”

To identify the Future 50, the BCG Henderson Institute examined more than 1,000 publicly traded companies with at least $20 billion in market value or $10 billion in revenue in the 12 months through the end of 2022. Thirty percent of a company’s score is based on market potential—defined as its expected future growth as determined by financial markets. The remaining 70% is based on a company’s capacity to deliver against this potential, which comprises 19 factors, selected for their ability to predict growth over the following five years, which fall into four categories: strategy, technology and investments, people, and structure.

Learn More 

  • Join Snowflake’s annual developer conference, BUILD, December 5-6. Register for the virtual event here
  • Read how Snowflake Cortex is providing customers with fast, easy, and secure LLM-powered app development in this blog post
  • Stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter

About Snowflake
Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 647 of the 2023 Forbes Global 2000 (G2K) as of October 31, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.

 

Media Contact
Danica Stanczak

Global Corporate Communications Lead, Snowflake

[email protected] 

Source: Snowflake Inc.

Snowflake Launches in Colombia

  • Local operations will support Colombian and multinational customers accelerating their migration to the Data Cloud
  • Leading companies in Colombia including Belcorp, Juan Valdez, Rappi, and thousands of global companies are leveraging the Snowflake Data Cloud to break down data silos and accelerate collaboration 

Bogotá, COLOMBIA – November 30, 2023 –  Snowflake, the Data Cloud company, today announced that it has officially launched market operations in Colombia as the company focuses on expanding its customer base in Colombia and Latin America. Founded in 2012, Snowflake is one of the fastest growing enterprise technology companies and had a highly successful IPO in 2020. Snowflake operates globally with more than 40 offices around the world and thousands of customers across many industries, including 639 of the 2023 Forbes Global 2000, use Snowflake Data Cloud to power their businesses.

With a robust startup network and one of the largest economies in Latin America (LATAM), enterprises throughout Colombia and LATAM are increasingly turning to Snowflake’s platform for their data needs. 

Snowflake customers have easy-to-use, governed access to near-infinite amounts of data, and cutting-edge tools, applications, and services, all from within the Snowflake Data Cloud. Snowflake’s platform enables startups and enterprises to seamlessly and securely collaborate locally and globally with built-in secure data sharing that can reveal new insights, create previously unforeseen business opportunities, and identify and engage customers in the moment with relevant experiences. Snowflake serves as a foundation for artificial intelligence and machine learning, enabling organizations to bring the power of GenAI and LLMs to enterprise data to build and deploy ML models, securely fine-tune LLMs, and turn models into interactive apps that fuel their businesses. 

The Data Cloud is enabled by the Snowflake platform, which offers: the near-unlimited scale and efficiency of a multi-cluster shared data architecture; the seamless interoperability of working with data across multiple public clouds as if they were one; baked-in security features that can’t be turned off; and modern data sharing, which allows virtually any number of organizations to share and receive live data with each other near-instantly and without having to move or copy data.

Under the leadership of Ernesto Serrano, Country Manager for Colombia, Snowflake will bolster its LATAM operations to be closer to Colombian customers’ needs. The company plans to build upon the current Professional Services team located in its Colombia office and expand hiring to focus on sales and customer support. 

“Snowflake’s robust data capabilities will empower Colombian organizations across industries to unlock the true potential of their data, fostering informed decision-making, efficiency, and innovation,” said Serrano. “We are excited to invest in the Colombian market and expand the reach of the Snowflake Data Cloud to serve and connect Colombian enterprises with valuable data insights that can enable them to thrive in this rapidly evolving business landscape.”

Leading companies in Colombia, including Belcorp, Juan Valdez, and Rappi have already turned to Snowflake Data Cloud for their data needs:

  • Rappi, one of the most successful and fastest growing startups in Colombia, uses Snowflake Data Cloud as the single source of truth for its marketing and transactional data. With Snowflake, Rappi can seamlessly access near real-time data insights for business decision making.
  • Belcorp, parent company of L’Bel, Esika and Cyzone, a global leader in beauty and personal care, uses Snowflake to make near real-time business decisions on pricing, sales and inventory. Snowflake has offered them the ease of use and scalability for Belcorp to drive a true digital culture in our business as a secure database to drive the company’s next phase of growth. 
  • Juan Valdez, the Colombia-based multinational coffee retailer and iconic brand for the country, leverages Snowflake’s secure data exchange to centralize and analyze data from its stores in more than 500 outlets.  This has allowed them to centralize their resources to offer better and more personalized experiences to their users.

“With multiple channels and hundreds of locations around the world, the ability to quickly and easily access and analyze granular data from the majority of our specialty stores on Snowflake’s centralized platform, while ensuring data protection, has been essential to optimizing the path to informed decision-making,” said Freddy Cabra, Data Analytics Coordinator at Juan Valdez. “The Snowflake Data Cloud allows us to centralize our resources to deliver better and more personalized experiences to our users.”

With operations in Colombia, Snowflake now has more than 40 offices globally and operates across 19 countries. 

 

About Snowflake 

Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 647 of the 2023 Forbes Global 2000 (G2K) as of October 31, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.

Snowflake Reports Financial Results for the Third Quarter of Fiscal 2024

  • Product revenue of $698.5 million in the third quarter, representing 34% year-over-year growth
  • 436 customers with trailing 12-month product revenue greater than $1 million
  • Net revenue retention rate of 135%
  • 647 Forbes Global 2000 customers
  • Remaining performance obligations of $3.7 billion, representing 23% year-over-year growth

No-Headquarters/BOZEMAN, Mont.–(BUSINESS WIRE)– Snowflake (NYSE: SNOW), the Data Cloud company, today announced financial results for its third quarter of fiscal 2024, ended October 31, 2023.

Revenue for the quarter was $734.2 million, representing 32% year-over-year growth. Product revenue for the quarter was $698.5 million, representing 34% year-over-year growth. The company now has 436 customers with trailing 12-month product revenue greater than $1 million and 647 Forbes Global 2000 customers, representing 52% and 10% year-over-year growth, respectively. Net revenue retention rate was 135% as of October 31, 2023. Remaining performance obligations were $3.7 billion, representing 23% year-over-year growth. Net cash provided by operating activities was $120.9 million, representing 53% year-over-year growth. See the section titled “Key Business Metrics” for definitions of product revenue, customers with trailing 12-month product revenue greater than $1 million, net revenue retention rate, Forbes Global 2000 customers, and remaining performance obligations.

“During Q3, product revenue grew 34% year-over-year to reach $698 million and non-GAAP adjusted free cash flow was $111 million, representing 70% year-over-year growth. These results reflect strong execution in a broadly stabilizing macro environment,” said Frank Slootman, Chairman and CEO, Snowflake.

Third Quarter Fiscal 2024 GAAP and Non-GAAP Results:

The following table summarizes our financial results for the third quarter of fiscal 2024:

Third Quarter Fiscal 2024

GAAP Results

Third Quarter Fiscal 2024

Non-GAAP Results(1)

Amount

(millions)

Year/Year Growth

Product revenue

$698.5

34%

Amount

(millions)

Margin

Amount

(millions)

Margin

Product gross profit

$518.5

74%

$547.1

78%

Operating income (loss)

($260.6)

(35%)

$71.9

10%

Net cash provided by operating activities

$120.9

Free cash flow

$102.3

14%

Adjusted free cash flow

$110.8

15%

(1)

We report non-GAAP financial measures in addition to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP. See the section titled “Statement Regarding Use of Non-GAAP Financial Measures” for an explanation of non-GAAP financial measures, and the table titled “GAAP to Non-GAAP Reconciliations” for a reconciliation of GAAP to non-GAAP financial measures.

Note: Fiscal year ends January 31. Numbers are rounded for presentation purposes.

Financial Outlook:

Our guidance includes GAAP and non-GAAP financial measures.

The following table summarizes our guidance for the fourth quarter of fiscal 2024:

Fourth Quarter Fiscal 2024

GAAP Guidance

Fourth Quarter Fiscal 2024

Non-GAAP Guidance(1)

Amount

(millions)

Year/Year Growth

Product revenue

$716 – $721

29 – 30%

Margin

Operating income

4%

Amount

(millions)

Weighted-average shares used in computing net income per share attributable to Snowflake Inc. common stockholders – diluted(2)

360

(1)

We report non-GAAP financial measures in addition to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP. See the section titled “Statement Regarding Use of Non-GAAP Financial Measures” for an explanation of non-GAAP financial measures.

(2)

The potential impact of future repurchases under our existing stock repurchase program is not reflected in our guidance for weighted-average shares used in computing net income per share attributable to Snowflake Inc. common stockholders – diluted due to the uncertainty regarding, and the potential variability of, the timing and amount of repurchases.

The following table summarizes our guidance for the full-year fiscal 2024:

Full-Year Fiscal 2024

GAAP Guidance

Full-Year Fiscal 2024

Non-GAAP Guidance(1)

Amount

(millions)

Year/Year Growth

Product revenue(2)

$2,650

37%

Margin

Product gross profit

77%

Operating income

7%

Adjusted free cash flow

27%

Amount

(millions)

Weighted-average shares used in computing net income per share attributable to Snowflake Inc. common stockholders – diluted(3)

361

(1)

We report non-GAAP financial measures in addition to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP. See the section titled “Statement Regarding Use of Non-GAAP Financial Measures” for an explanation of non-GAAP financial measures.

(2)

The full-year fiscal 2024 product revenue guidance is based on the higher end of the fourth quarter fiscal 2024 guidance.

(3)

The potential impact of future repurchases under our existing stock repurchase program is not reflected in our guidance for weighted-average shares used in computing net income per share attributable to Snowflake Inc. common stockholders – diluted due to the uncertainty regarding, and the potential variability of, the timing and amount of repurchases.

A reconciliation of non-GAAP guidance measures to corresponding GAAP guidance measures is not available on a forward-looking basis without unreasonable effort due to the uncertainty regarding, and the potential variability of, expenses that may be incurred in the future. Stock-based compensation-related charges, including employer payroll tax-related items on employee stock transactions, are impacted by the timing of employee stock transactions, the future fair market value of our common stock, and our future hiring and retention needs, all of which are difficult to predict and subject to constant change. We have provided a reconciliation of GAAP to non-GAAP financial measures in the financial statement tables for our historical non-GAAP financial results included in this release. Our fiscal year ends January 31, and numbers are rounded for presentation purposes.

Conference Call Details

We will host a conference call today, beginning at 3 p.m. Mountain Time on November 29, 2023. Investors and participants may attend the call by dialing (833) 470-1428 (Access code: 973189), or if outside the United States, by dialing +1 (929) 526-1599 (Access code: 973189).

The call will also be webcast live on the Snowflake Investor Relations website at https://investors.snowflake.com.

An audio replay of the conference call and webcast will be available two hours after its completion and will be accessible for 30 days on the Snowflake Investor Relations website.

Investor Presentation Details

An investor presentation providing additional information and analysis can be found at https://investors.snowflake.com.

Statement Regarding Use of Non‑GAAP Financial Measures

We report the following non-GAAP financial measures, which have not been prepared in accordance with generally accepted accounting principles in the United States (GAAP), in addition to, and not as a substitute for, or superior to, financial measures calculated in accordance with GAAP.

  • Non-GAAP Product gross profit, Operating income (loss), Net income (loss), Net income (loss) attributable to Snowflake Inc., and Net income (loss) per share attributable to Snowflake Inc. common stockholders – basic and diluted. Our non-GAAP product gross profit, operating income (loss), net income (loss), and net income (loss) attributable to Snowflake Inc. measures exclude the effect of (i) stock-based compensation-related charges, including employer payroll tax-related items on employee stock transactions, (ii) amortization of acquired intangibles, (iii) expenses associated with acquisitions and strategic investments, (iv) adjustments attributable to noncontrolling interest, and (v) the related income tax effect of these adjustments as well as the non-recurring income tax expense or benefit associated with acquisitions. Our non-GAAP net income (loss) per share attributable to Snowflake Inc. common stockholders – basic is calculated by dividing non-GAAP net income (loss) attributable to Snowflake Inc. by the weighted-average number of shares of common stock outstanding during the period. Our non-GAAP net income per share attributable to Snowflake Inc. common stockholders – diluted is calculated by dividing non-GAAP net income attributable to Snowflake Inc. by the non-GAAP weighted-average number of diluted shares outstanding, giving effect to all potentially dilutive common stock equivalents (stock options, restricted stock units, and employee stock purchase rights under our 2020 Employee Stock Purchase Plan). The potential dilutive effect of outstanding restricted stock units with performance conditions not yet satisfied is included in the non-GAAP weighted-average number of diluted shares at forecasted attainment levels to the extent we believe it is probable that the performance conditions will be met. Non-GAAP net loss per share attributable to Snowflake Inc. common stockholders – diluted is the same as Non-GAAP net loss per share attributable to Snowflake Inc. common stockholders – basic as the inclusion of all potential dilutive common stock equivalents would be anti-dilutive. Amounts attributable to noncontrolling interest were not material for all periods presented. We believe the presentation of operating results that exclude these non-cash or non-recurring items provides useful supplemental information to investors and facilitates the analysis of our operating results and comparison of operating results across reporting periods.
  • Free cash flow. Free cash flow is defined as net cash provided by (used in) operating activities reduced by purchases of property and equipment and capitalized internal-use software development costs. Cash outflows for employee payroll tax items related to the net share settlement of equity awards are included in cash flow for financing activities and, as a result, do not have an effect on the calculation of free cash flow. Free cash flow margin is calculated as free cash flow as a percentage of revenue. We believe these measures provide useful supplemental information to investors because they are indicators of the strength and performance of our core business operations.
  • Adjusted free cash flow. Adjusted free cash flow is defined as free cash flow plus (minus) net cash paid (received) on employer and employee payroll tax-related items on employee stock transactions. Employee payroll tax-related items on employee stock transactions are generally pass-through transactions that are expected to have a net zero impact on free cash flow over time, but that may impact free cash flow in any given fiscal quarter due to differences between the time that we receive funds from our employees and the time we remit those funds to applicable tax authorities. We believe that excluding the effects of these payroll tax-related items will enhance stockholders’ ability to evaluate our free cash flow performance, including on a quarter-over-quarter basis. Adjusted free cash flow margin is calculated as adjusted free cash flow as a percentage of revenue. We believe these measures provide useful supplemental information to investors because they are indicators of the strength and performance of our core business operations.

We use these non-GAAP financial measures internally for financial and operational decision-making purposes and as a means to evaluate period-to-period comparisons. Non-GAAP financial measures are not meant to be considered in isolation or as a substitute for comparable GAAP financial measures and should be read only in conjunction with our condensed consolidated financial statements prepared in accordance with GAAP. Our presentation of non-GAAP financial measures may not be comparable to similar measures used by other companies. We encourage investors to carefully consider our results under GAAP, as well as our supplemental non-GAAP information and the reconciliation between these presentations, to more fully understand our business. Please see the tables included at the end of this release for the reconciliation of GAAP to non-GAAP results.

Key Business Metrics

We monitor our key business metrics, including (i) free cash flow and (ii) the other metrics set forth below to help us evaluate our business and growth trends, establish budgets, measure the effectiveness of our sales and marketing efforts, and assess operational efficiencies. See the section titled “Statement Regarding Use of Non-GAAP Financial Measures” for the definition of free cash flow. The calculation of our key business metrics may differ from other similarly titled metrics used by other companies, securities analysts, or investors.

  • Product Revenue. Product revenue is a key metric for us because we recognize revenue based on platform consumption, which is inherently variable at our customers’ discretion, and not based on the amount and duration of contract terms. Product revenue is primarily derived from the consumption of compute, storage, and data transfer resources, which are consumed by customers on our platform as a single, integrated offering. Customers have the flexibility to consume more than their contracted capacity during the contract term and may have the ability to roll over unused capacity to future periods, generally upon the purchase of additional capacity at renewal. Our consumption-based business model distinguishes us from subscription-based software companies that generally recognize revenue ratably over the contract term and may not permit rollover. Because customers have flexibility in the timing of their consumption, which can exceed their contracted capacity or extend beyond the original contract term in many cases, the amount of product revenue recognized in a given period is an important indicator of customer satisfaction and the value derived from our platform. Product revenue excludes our professional services and other revenue.
  • Customers with Trailing 12-Month Product Revenue Greater than $1 Million. To calculate the number of customers with trailing 12-month product revenue greater than $1 million, we count the number of customers under capacity arrangements that contributed more than $1 million in product revenue in the trailing 12 months. For purposes of determining our customer count, we treat each customer account, including accounts for end-customers under a reseller arrangement, that has at least one corresponding capacity contract as a unique customer, and a single organization with multiple divisions, segments, or subsidiaries may be counted as multiple customers. We do not include customers that consume our platform only under on-demand arrangements for purposes of determining our customer count. Our customer count is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our customer count for historical periods reflecting these adjustments.
  • Net Revenue Retention Rate. To calculate net revenue retention rate, we first specify a measurement period consisting of the trailing two years from our current period end. Next, we define as our measurement cohort the population of customers under capacity contracts that used our platform at any point in the first month of the first year of the measurement period. The cohorts used to calculate net revenue retention rate include end-customers under a reseller arrangement. We then calculate our net revenue retention rate as the quotient obtained by dividing our product revenue from this cohort in the second year of the measurement period by our product revenue from this cohort in the first year of the measurement period. Any customer in the cohort that did not use our platform in the second year remains in the calculation and contributes zero product revenue in the second year. Our net revenue retention rate is subject to adjustments for acquisitions, consolidations, spin-offs, and other market activity, and we present our net revenue retention rate for historical periods reflecting these adjustments. Since we will continue to attribute the historical product revenue to the consolidated contract, consolidation of capacity contracts within a customer’s organization typically will not impact our net revenue retention rate unless one of those customers was not a customer at any point in the first month of the first year of the measurement period.
  • Forbes Global 2000 Customers. Our Forbes Global 2000 customer count is a subset of our customer count based on the 2023 Forbes Global 2000 list. Our Forbes Global 2000 customer count is subject to adjustments for annual updates to the list by Forbes, as well as acquisitions, consolidations, spin-offs, and other market activity with respect to such customers, and we present our Forbes Global 2000 customer count for historical periods reflecting these adjustments.
  • Remaining Performance Obligations. Remaining performance obligations (RPO) represent the amount of contracted future revenue that has not yet been recognized, including (i) deferred revenue and (ii) non-cancelable contracted amounts that will be invoiced and recognized as revenue in future periods. RPO excludes performance obligations from on-demand arrangements and certain time and materials contracts that are billed in arrears. Portions of RPO that are not yet invoiced and are denominated in foreign currencies are revalued into U.S. dollars each period based on the applicable period-end exchange rates. RPO is not necessarily indicative of future product revenue growth because it does not account for the timing of customers’ consumption or their consumption of more than their contracted capacity. Moreover, RPO is influenced by a number of factors, including the timing and size of renewals, the timing and size of purchases of additional capacity, average contract terms, seasonality, changes in foreign currency exchange rates, and the extent to which customers are permitted to roll over unused capacity to future periods, generally upon the purchase of additional capacity at renewal.

Use of Forward‑Looking Statements

This release and the accompanying oral presentation contain forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, regarding our performance, including but not limited to statements in the section titled “Financial Outlook.” Words such as “guidance,” “outlook,” “expect,” “anticipate,” “should,” “believe,” “hope,” “target,” “project,” “plan,” “goals,” “estimate,” “potential,” “predict,” “may,” “will,” “might,” “could,” “intend,” “shall,” and variations of these terms or the negative of these terms and similar expressions are intended to identify these forward-looking statements. The forward-looking statements contained in this release and the accompanying oral presentation are subject to known and unknown risks, uncertainties, assumptions, and other factors that may cause actual results or outcomes to be materially different from any future results or outcomes expressed or implied by the forward-looking statements. These risks, uncertainties, assumptions, and other factors include, but are not limited to, those related to our business and financial performance; general market and business conditions, downturns, or uncertainty, including higher inflation, higher interest rates, and fluctuations or volatility in capital markets or foreign currency exchange rates; our ability to attract and retain customers; the extent to which customers continue to optimize consumption, including by reducing storage through shorter data retention policies; the extent to which customers continue to rationalize budgets and prioritize cash flow management, including through shortened contract durations; our ability to develop new products and services and enhance existing products and services; the growth of successful native applications on the Snowflake Marketplace; our ability to respond rapidly to emerging technology trends, including the use of artificial intelligence; our ability to execute on our business strategy, including our strategy related to the Data Cloud, Snowpark, and Snowflake Marketplace; our ability to increase and predict customer consumption of our platform, particularly in light of the impact of holidays on customer consumption patterns; our ability to compete effectively; and our ability to manage growth.

Further information on these and additional risks, uncertainties, and other factors that could cause actual outcomes and results to differ materially from those included in or contemplated by the forward-looking statements contained in this release are included under the caption “Risk Factors” and elsewhere in our Form 10-Q for the fiscal quarter ended July 31, 2023 and other filings and reports we make with the Securities and Exchange Commission from time to time, including our Form 10-Q that will be filed for the fiscal quarter ended October 31, 2023.

Moreover, we operate in a very competitive and rapidly changing environment, and new risks may emerge from time to time. It is not possible to predict all risks, nor can we assess the impact of all factors on our business or the extent to which any factor(s) may cause actual results or outcomes to differ materially from those contained in any forward-looking statements we may make. As a result of these risks, uncertainties, assumptions, and other factors, you should not rely on any forward-looking statements as predictions of future events. Forward-looking statements speak only as of the date the statements are made and are based on information available to us at the time those statements are made and/or management’s good faith belief as of that time with respect to future events. Except as required by law, we undertake no obligation, and do not intend, to update these forward-looking statements, to review or confirm analysts’ expectations, or to provide interim reports or updates on the progress of the current financial quarter.

About Snowflake

Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 647 of the 2023 Forbes Global 2000 (G2K) as of October 31, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.

Source: Snowflake Inc.

Snowflake Inc.

Condensed Consolidated Statements of Operations

(in thousands, except per share data)

(unaudited)

Three Months Ended October 31,

Nine Months Ended October 31,

2023

2022

2023

2022

Revenue

$

734,173

$

557,028

$

2,031,790

$

1,476,647

Cost of revenue

228,948

190,721

656,754

511,883

Gross profit

505,225

366,307

1,375,036

964,764

Operating expenses:

Sales and marketing

355,079

284,477

1,029,925

803,034

Research and development

332,065

211,387

923,473

545,933

General and administrative

78,704

76,462

240,906

218,314

Total operating expenses

765,848

572,326

2,194,304

1,567,281

Operating loss

(260,623

)

(206,019

)

(819,268

)

(602,517

)

Interest income

53,491

21,857

146,902

38,308

Other expense, net

(4,170

)

(13,271

)

(2,646

)

(44,672

)

Loss before income taxes

(211,302

)

(197,433

)

(675,012

)

(608,881

)

Provision for (benefit from) income taxes

3,392

4,009

(6,934

)

(18,839

)

Net loss

(214,694

)

(201,442

)

(668,078

)

(590,042

)

Less: net loss attributable to noncontrolling interest

(443

)

(506

)

(1,333

)

(506

)

Net loss attributable to Snowflake Inc.

$

(214,251

)

$

(200,936

)

$

(666,745

)

$

(589,536

)

Net loss per share attributable to Snowflake Inc. common stockholders – basic and diluted

$

(0.65

)

$

(0.63

)

$

(2.04

)

$

(1.86

)

Weighted-average shares used in computing net loss per share attributable to Snowflake Inc. common stockholders – basic and diluted

329,310

320,135

326,964

317,653

Snowflake Inc.

Condensed Consolidated Balance Sheets

(in thousands)

(unaudited)

October 31, 2023

January 31, 2023

Assets

Current assets:

Cash and cash equivalents

$

982,182

$

939,902

Short-term investments

2,566,357

3,067,966

Accounts receivable, net

511,034

715,821

Deferred commissions, current

74,574

67,901

Prepaid expenses and other current assets

178,136

193,100

Total current assets

4,312,283

4,984,690

Long-term investments

947,829

1,073,023

Property and equipment, net

216,380

160,823

Operating lease right-of-use assets

254,236

231,266

Goodwill

784,405

657,370

Intangible assets, net

329,767

186,013

Deferred commissions, non-current

150,362

145,286

Other assets

269,117

283,851

Total assets

$

7,264,379

$

7,722,322

Liabilities and Stockholders’ Equity

Current liabilities:

Accounts payable

$

75,456

$

23,672

Accrued expenses and other current liabilities

318,281

269,069

Operating lease liabilities, current

33,348

27,301

Deferred revenue, current

1,605,587

1,673,475

Total current liabilities

2,032,672

1,993,517

Operating lease liabilities, non-current

253,029

224,357

Deferred revenue, non-current

12,082

11,463

Other liabilities

25,829

24,370

Snowflake Inc. stockholders’ equity

4,929,921

5,456,436

Noncontrolling interest

10,846

12,179

Total liabilities and stockholders’ equity

$

7,264,379

$

7,722,322

Snowflake Inc.

Condensed Consolidated Statements of Cash Flows

(in thousands)

(unaudited)

Three Months Ended October 31,

Nine Months Ended October 31,

2023

2022

2023

2022

Cash flows from operating activities:

Net loss

$

(214,694

)

$

(201,442

)

$

(668,078

)

$

(590,042

)

Adjustments to reconcile net loss to net cash provided by operating activities:

Depreciation and amortization

32,470

17,696

84,917

43,809

Non-cash operating lease costs

13,488

12,340

39,141

33,579

Amortization of deferred commissions

18,869

14,554

54,722

41,525

Stock-based compensation, net of amounts capitalized

298,286

229,163

862,517

610,837

Net amortization (accretion) of premiums (discounts) on investments

(16,234

)

(545

)

(49,226

)

12,331

Net unrealized losses (gains) on strategic investments in equity securities

1,790

13,064

(1,105

)

45,096

Deferred income tax

(213

)

1,387

(13,107

)

(25,277

)

Other

2,474

(1,396

)

14,286

678

Changes in operating assets and liabilities, net of effects of business combinations:

Accounts receivable

(104,705

)

(88,846

)

205,138

150,723

Deferred commissions

(25,478

)

(23,721

)

(66,470

)

(63,627

)

Prepaid expenses and other assets

4,658

41,346

51,574

13,169

Accounts payable

34,203

4,079

51,672

10,304

Accrued expenses and other liabilities

6,603

17,272

33,709

27,727

Operating lease liabilities

(12,716

)

(10,990

)

(28,739

)

(29,176

)

Deferred revenue

82,106

55,316

(67,409

)

46,667

Net cash provided by operating activities

120,907

79,277

503,542

328,323

Cash flows from investing activities:

Purchases of property and equipment

(8,746

)

(8,505

)

(22,014

)

(19,766

)

Capitalized internal-use software development costs

(9,889

)

(5,779

)

(27,104

)

(17,319

)

Cash paid for business combinations, net of cash, cash equivalents, and restricted cash acquired

(14,963

)

(174,630

)

(279,534

)

(352,555

)

Purchases of intangible assets

(1,264

)

(28,744

)

(700

)

Purchases of investments

(369,365

)

(870,910

)

(2,095,329

)

(2,796,167

)

Sales of investments

4,000

14,881

11,266

58,813

Maturities and redemptions of investments

971,087

898,081

2,751,148

2,594,593

Net cash provided by (used in) investing activities

570,860

(146,862

)

309,689

(533,101

)

Cash flows from financing activities:

Proceeds from exercise of stock options

7,335

7,299

38,854

31,095

Proceeds from issuance of common stock under employee stock purchase plan

24,169

14,837

61,234

40,931

Taxes paid related to net share settlement of equity awards

(91,118

)

(51,657

)

(273,828

)

(135,766

)

Repurchases of common stock

(400,038

)

(591,732

)

Capital contributions from noncontrolling interest holders

13,000

13,000

Payments of deferred purchase consideration for business combinations

(1,800

)

(1,800

)

Net cash used in financing activities

(459,652

)

(18,321

)

(765,472

)

(52,540

)

Effect of exchange rate changes on cash, cash equivalents, and restricted cash

(5,600

)

(2,002

)

(4,595

)

(9,390

)

Net increase (decrease) in cash, cash equivalents, and restricted cash

226,515

(87,908

)

43,164

(266,708

)

Cash, cash equivalents, and restricted cash—beginning of period

773,380

923,734

956,731

1,102,534

Cash, cash equivalents, and restricted cash—end of period

$

999,895

$

835,826

$

999,895

$

835,826

Snowflake Inc.

GAAP to Non-GAAP Reconciliations

(in thousands, except per share data and percentages)

(unaudited)

Three Months Ended October 31,

Nine Months Ended October 31,

2023

2022

2023

2022

Amount

Amount as a % of Revenue

Amount

Amount as a % of Revenue

Amount

Amount as a % of Revenue

Amount

Amount as a % of Revenue

Revenue:

Product revenue

$

698,478

95%

$

522,752

94%

$

1,928,759

95%

$

1,383,454

94%

Professional services and other revenue

35,695

5%

34,276

6%

103,031

5%

93,193

6%

Revenue

$

734,173

100%

$

557,028

100%

$

2,031,790

100%

$

1,476,647

100%

Year-over-year growth

32

%

67

%

38

%

77

%

Cost of revenue:

GAAP cost of product revenue

$

180,000

24%

$

145,929

26%

$

508,424

25%

$

388,946

27%

Less: stock-based compensation-related charges

(19,434

)

(15,784

)

(57,972

)

(44,047

)

Less: amortization of acquired intangibles

(9,185

)

(1,299

)

(21,643

)

(2,432

)

Non-GAAP cost of product revenue

$

151,381

21%

$

128,846

23%

$

428,809

21%

$

342,467

23%

GAAP cost of professional services and other revenue

$

48,948

7%

$

44,792

8%

$

148,330

7%

$

122,937

8%

Less: stock-based compensation-related charges

(14,420

)

(13,753

)

(44,851

)

(38,074

)

Less: amortization of acquired intangibles

(1,663

)

(4,771

)

Non-GAAP cost of professional services and other revenue

$

32,865

4%

$

31,039

6%

$

98,708

5%

$

84,863

6%

GAAP cost of revenue

$

228,948

31%

$

190,721

34%

$

656,754

32%

$

511,883

35%

Less: stock-based compensation-related charges

(33,854

)

(29,537

)

(102,823

)

(82,121

)

Less: amortization of acquired intangibles

(10,848

)

(1,299

)

(26,414

)

(2,432

)

Non-GAAP cost of revenue

$

184,246

25%

$

159,885

29%

$

527,517

26%

$

427,330

29%

Gross profit (loss):

GAAP product gross profit

$

518,478

74%

$

376,823

72%

$

1,420,335

74%

$

994,508

72%

Add: stock-based compensation-related charges

19,434

15,784

57,972

44,047

Add: amortization of acquired intangibles

9,185

1,299

21,643

2,432

Non-GAAP product gross profit

$

547,097

78%

$

393,906

75%

$

1,499,950

78%

$

1,040,987

75%

GAAP professional services and other revenue gross loss

$

(13,253

)

(37%)

$

(10,516

)

(31%)

$

(45,299

)

(44%)

$

(29,744

)

(32%)

Add: stock-based compensation-related charges

14,420

13,753

44,851

38,074

Add: amortization of acquired intangibles

1,663

4,771

Non-GAAP professional services and other revenue gross profit

$

2,830

8%

$

3,237

9%

$

4,323

4%

$

8,330

9%

GAAP gross profit

$

505,225

69%

$

366,307

66%

$

1,375,036

68%

$

964,764

65%

Add: stock-based compensation-related charges

33,854

29,537

102,823

82,121

Add: amortization of acquired intangibles

10,848

1,299

26,414

2,432

Non-GAAP gross profit

$

549,927

75%

$

397,143

71%

$

1,504,273

74%

$

1,049,317

71%

Gross margin:

GAAP product gross margin

74

%

72

%

74

%

72

%

Add: stock-based compensation-related charges as a % of product revenue

3

%

3

%

3

%

3

%

Add: amortization of acquired intangibles as a % of product revenue

1

%

%

1

%

%

Non-GAAP product gross margin

78

%

75

%

78

%

75

%

GAAP professional services and other revenue gross margin

(37

%)

(31

%)

(44

%)

(32

%)

Add: stock-based compensation-related charges as a % of professional services and other revenue

40

%

40

%

43

%

41

%

Add: amortization of acquired intangibles as a % of professional services and other revenue

5

%

%

5

%

%

Non-GAAP professional services and other revenue gross margin

8

%

9

%

4

%

9

%

GAAP gross margin

69

%

66

%

68

%

65

%

Add: stock-based compensation-related charges as a % of revenue

5

%

5

%

5

%

6

%

Add: amortization of acquired intangibles as a % of revenue

1

%

%

1

%

%

Non-GAAP gross margin

75

%

71

%

74

%

71

%

Operating expenses:

GAAP sales and marketing expense

$

355,079

48%

$

284,477

51%

$

1,029,925

51%

$

803,034

54%

Less: stock-based compensation-related charges

(78,411

)

(67,415

)

(242,858

)

(187,212

)

Less: amortization of acquired intangibles

(7,575

)

(7,553

)

(22,435

)

(17,654

)

Non-GAAP sales and marketing expense

$

269,093

37%

$

209,509

37%

$

764,632

38%

$

598,168

41%

GAAP research and development expense

$

332,065

45%

$

211,387

38%

$

923,473

45%

$

545,933

37%

Less: stock-based compensation-related charges

(169,526

)

(111,431

)

(482,412

)

(285,054

)

Less: amortization of acquired intangibles

(3,624

)

(1,785

)

(8,702

)

(5,310

)

Non-GAAP research and development expense

$

158,915

21%

$

98,171

18%

$

432,359

21%

$

255,569

17%

GAAP general and administrative expense

$

78,704

11%

$

76,462

14%

$

240,906

12%

$

218,314

15%

Less: stock-based compensation-related charges

(25,566

)

(26,808

)

(81,126

)

(78,327

)

Less: amortization of acquired intangibles

(451

)

(451

)

(1,338

)

(1,280

)

Less: expenses associated with acquisitions and strategic investments

(2,706

)

(3,112

)

(9,904

)

(5,635

)

Non-GAAP general and administrative expense

$

49,981

7%

$

46,091

8%

$

148,538

7%

$

133,072

9%

GAAP total operating expense

$

765,848

104%

$

572,326

103%

$

2,194,304

108%

$

1,567,281

106%

Less: stock-based compensation-related charges

(273,503

)

(205,654

)

(806,396

)

(550,593

)

Less: amortization of acquired intangibles

(11,650

)

(9,789

)

(32,475

)

(24,244

)

Less: expenses associated with acquisitions and strategic investments

(2,706

)

(3,112

)

(9,904

)

(5,635

)

Non-GAAP total operating expense

$

477,989

65%

$

353,771

63%

$

1,345,529

66%

$

986,809

67%

Operating income (loss):

GAAP operating loss

$

(260,623

)

(35%)

$

(206,019

)

(37%)

$

(819,268

)

(40%)

$

(602,517

)

(41%)

Add: stock-based compensation-related charges(1)

307,357

235,191

909,219

632,714

Add: amortization of acquired intangibles

22,498

11,088

58,889

26,676

Add: expenses associated with acquisitions and strategic investments

2,706

3,112

9,904

5,635

Non-GAAP operating income

$

71,938

10%

$

43,372

8%

$

158,744

8%

$

62,508

4%

Operating margin:

GAAP operating margin

(35

%)

(37

%)

(40

%)

(41

%)

Add: stock-based compensation-related charges as a % of revenue

42

%

42

%

45

%

43

%

Add: amortization of acquired intangibles as a % of revenue

3

%

2

%

3

%

2

%

Add: expenses associated with acquisitions and strategic investments as a % of revenue

%

1

%

%

%

Non-GAAP operating margin

10

%

8

%

8

%

4

%

Net income (loss):

GAAP net loss

$

(214,694

)

(29%)

$

(201,442

)

(36%)

$

(668,078

)

(33%)

$

(590,042

)

(40%)

Add: stock-based compensation-related charges(1)

307,357

235,191

909,219

632,714

Add: amortization of acquired intangibles

22,498

11,088

58,889

26,676

Add: expenses associated with acquisitions and strategic investments

2,706

3,112

9,904

5,635

Income tax expenses effect related to the above adjustments

(28,136

)

(9,501

)

(85,714

)

(33,437

)

Non-GAAP net income

$

89,731

12%

$

38,448

7%

$

224,220

11%

$

41,546

3%

Net income (loss) attributable to Snowflake Inc.:

GAAP net loss attributable to Snowflake Inc.

$

(214,251

)

(29%)

$

(200,936

)

(36%)

$

(666,745

)

(33%)

$

(589,536

)

(40%)

Add: stock-based compensation-related charges(1)

307,357

235,191

909,219

632,714

Add: amortization of acquired intangibles

22,498

11,088

58,889

26,676

Add: expenses associated with acquisitions and strategic investments

2,706

3,112

9,904

5,635

Income tax expenses effect related to the above adjustments

(28,136

)

(9,501

)

(85,714

)

(33,437

)

Adjustments attributable to noncontrolling interest, net of tax

(64

)

(375

)

(174

)

(375

)

Non-GAAP net income attributable to Snowflake Inc.

$

90,110

12%

$

38,579

7%

$

225,379

11%

$

41,677

3%

Net income (loss) per share attributable to Snowflake Inc. common stockholders – basic and diluted:

GAAP net loss per share attributable to Snowflake Inc. common stockholders – basic and diluted

$

(0.65

)

$

(0.63

)

$

(2.04

)

$

(1.86

)

Weighted-average shares used in computing GAAP net loss per share attributable to Snowflake Inc. common stockholders – basic and diluted

329,310

320,135

326,964

317,653

Non-GAAP net income per share attributable to Snowflake Inc. common stockholders – basic

$

0.27

$

0.12

$

0.69

$

0.13

Weighted-average shares used in computing non-GAAP net income per share attributable to Snowflake Inc. common stockholders – basic

329,310

320,135

326,964

317,653

Non-GAAP net income per share attributable to Snowflake Inc. common stockholders – diluted

$

0.25

$

0.11

$

0.62

$

0.12

Non-GAAP weighted-average shares used in computing non-GAAP net income per share attributable to Snowflake Inc. common stockholders – diluted(2)

361,667

359,850

361,488

359,010

Free cash flow and adjusted free cash flow:

GAAP net cash provided by operating activities

$

120,907

16%

$

79,277

14%

$

503,542

25%

$

328,323

22%

Less: purchases of property and equipment

(8,746

)

(8,505

)

(22,014

)

(19,766

)

Less: capitalized internal-use software development costs

(9,889

)

(5,779

)

(27,104

)

(17,319

)

Non-GAAP free cash flow

102,272

14%

64,993

12%

454,424

22%

291,238

20%

Add: net cash paid on payroll tax-related items on employee stock transactions(3)

8,541

52

31,464

13,893

Non-GAAP adjusted free cash flow

$

110,813

15%

$

65,045

12%

$

485,888

24%

$

305,131

21%

Non-GAAP free cash flow margin

14

%

12

%

22

%

20

%

Non-GAAP adjusted free cash flow margin

15

%

12

%

24

%

21

%

(1)

Stock-based compensation-related charges included employer payroll tax-related expenses on employee stock transactions of approximately $6.2 million and $34.5 million for the three and nine months ended October 31, 2023, respectively, and $4.6 million and $18.7 million for the three and nine months ended October 31, 2022, respectively.

(2)

For the periods in which we had non-GAAP net income, the non-GAAP weighted-average shares used in computing non-GAAP net income per share attributable to Snowflake Inc. common stockholders – diluted included the effect of all potentially dilutive common stock equivalents (stock options, restricted stock units, and employee stock purchase rights under our 2020 Employee Stock Purchase Plan). The potential dilutive effect of outstanding restricted stock units with performance conditions not yet satisfied is included in the non-GAAP weighted-average number of diluted shares at forecasted attainment levels to the extent we believe it is probable that the performance conditions will be met. These potentially dilutive securities were excluded from the weighted-average shares used in computing non-GAAP net loss per share attributable to Snowflake Inc. common stockholders – diluted when we were in a non-GAAP net loss position.

(3)

The amounts for the three and nine months ended October 31, 2023 do not include employee payroll taxes of $91.1 million and $273.8 million, respectively, and the amounts for the three and nine months ended October 31, 2022 do not include employee payroll taxes of $51.7 million and $135.8 million, respectively, related to net share settlement of employee restricted stock units, which were reflected as cash outflows for financing activities.

 

Contacts

Investor Contact
Jimmy Sexton
[email protected]

Press Contact
Eszter Szikora
[email protected]

Source: Snowflake Inc.

Snowflake Puts Industry-Leading Large Language and AI Models in the Hands of All Users with Snowflake Cortex

  • Snowflake unveils Snowflake Cortex, its new fully managed service that provides access to industry-leading large language models, AI models, and vector search functionality 
  • Snowflake Cortex underpins the LLM-powered experiences in Snowflake, including the new Snowflake Copilot and Universal Search 
  • Users of all skill sets can access a growing set of serverless functions within Snowflake Cortex to accelerate their analytics and quickly build contextualized LLM-powered apps within minutes

No-Headquarters/BOZEMAN, Mont. – November 1, 2023 – Snowflake (NYSE: SNOW), the Data Cloud company, today announced at its Snowday 2023 event new innovations that enable all users to securely tap into the power of generative AI with their enterprise data — regardless of their technical expertise. Snowflake is simplifying how every organization can securely derive value from generative AI with Snowflake Cortex (private preview), Snowflake’s new fully managed service that enables organizations to more easily discover, analyze, and build AI apps in the Data Cloud.

Snowflake Cortex gives users instant access to a growing set of serverless functions that include industry-leading large language models (LLMs) such as Meta AI’s Llama 2 model, task-specific models, and advanced vector search functionality. Using these functions, teams can accelerate their analytics and quickly build contextualized LLM-powered apps within minutes. Snowflake has also built three LLM-powered experiences leveraging Snowflake Cortex to enhance user productivity including Document AI (private preview), Snowflake Copilot (private preview), and Universal Search (private preview).

Snowflake is helping pioneer the next wave of AI innovation by providing enterprises with the data foundation and cutting-edge AI building blocks they need to create powerful AI and machine learning apps while keeping their data safe and governed,” said Sridhar Ramaswamy, SVP of AI, Snowflake. “With Snowflake Cortex, businesses can now tap into the power of large language models in seconds, build custom LLM-powered apps within minutes, and maintain flexibility and control over their data — while reimagining how all users tap into generative AI to deliver business value.”

Customers Can Easily Develop LLM-Powered Apps Using Serverless Functions with Snowflake Cortex
As a fully managed service, Snowflake Cortex gives all customers the necessary building blocks to easily harness LLMs and AI, without the need for AI expertise or complex GPU-based infrastructure management. This includes a growing set of serverless functions available with a function call in SQL or Python code. Users of all skill sets can access these functions to quickly analyze data or build AI apps — all running in Snowflake Cortex’s cost-optimized infrastructure. These new functions include: 

  • Specialized Functions (private preview): A set of task-specific functions that leverage cost-effective language and AI models to accelerate everyday analytics. For any given input text, these models can detect sentiment, extract an answer, summarize the text, and translate it to a selected language. Specialized functions also include Snowflake’s existing machine learning-powered functions, including forecasting (generally available soon), anomaly detection (generally available soon), contribution explorer (public preview), and classification (private preview soon).
  • General-Purpose Functions (private preview): A set of conversational functions that leverage industry-leading open source LLMs (private preview), including the open source Llama 2 model, and high-performance Snowflake LLMs (private preview soon), including a text-to-SQL model, for users to easily “chat” with their data to support a broad range of use cases. These functions also include vector embedding and search functionality (private preview soon), so users can easily contextualize the model responses with their data to create customized apps in minutes. Snowflake is also adding vector as a native data type within the Data Cloud, helping users more efficiently run these functions against their data in Snowflake.

Streamlit in Snowflake (public preview) further helps accelerate the creation of custom LLM-powered apps, enabling users to quickly turn their data, AI models, and analytic and app functions into interactive apps written in Python. There have been over 10,000+ apps developed using Streamlit in Snowflake today (as of September 2023), with organizations including Priority Health, the health plan of Corewell Health, AppFolio, Braze, TransUnion, and more creating production-ready apps. 

Snowflake Cortex Unlocks Native LLM Experiences to Increase Productivity in the Data Cloud 

Snowflake is also unveiling new LLM-powered experiences built on Snowflake Cortex as the underlying service. These complete experiences include user interfaces and high-performance LLMs fully hosted and managed by Snowflake Cortex, making them ideal for business teams and analysts across organizations. To further improve productivity across the Data Cloud, Snowflake’s new LLM experiences include:

  • Snowflake Copilot (private preview): Snowflake’s new LLM-powered assistant, Snowflake Copilot, brings generative AI to everyday Snowflake coding tasks with natural language. Users can now ask questions of their data in plain text, write SQL queries against relevant data sets, refine queries and filter down insights, and more. 
  • Universal Search (private preview): With Universal Search, Snowflake is unveiling new LLM-powered search functionality so users can find and start getting value from the most relevant data and apps for their use cases, faster. This includes search across a customer’s Snowflake account, including databases, views, and Iceberg Tables (public preview soon), alongside search across data and Snowflake Native Apps available on Snowflake Marketplace.
  • Document AI (private preview): Serving as Snowflake’s first LLM experience, Document AI helps enterprises use LLMs to easily extract content like invoice amounts or contractual terms from documents and fine-tune results using a visual interface and natural language. Customers are using Document AI to help their teams be smarter about their businesses, and increase efficiency in secure and scalable ways.

Snowflake Empowers Users to Fully Customize Their LLM Apps with Virtually No Limits

For more advanced users that want to fully customize their LLM apps, Snowflake is empowering them with Snowpark Container Services (public preview soon in select AWS regions), which simplifies the deployment and management of containerized workloads securely in Snowflake. Using Snowpark Container Services, developers have the flexibility to run sophisticated third-party apps, including those from commercial LLMs and vector databases, entirely in their Snowflake account. Organizations can also easily deploy, fine-tune, and manage any open source LLM within the Data Cloud.

Snowflake also unveiled advancements that make it easier for developers to build ML models and full-stack apps in the Data Cloud, enhancements to further eliminate data silos and strengthen Snowflake’s leading compliance and governance capabilities through Snowflake Horizon, and more at Snowday 2023.

Learn More: 

  • Read how Snowflake Cortex is providing customers with fast, easy, and secure LLM-powered app development in this blog post
  • Learn more about how users with little to no AI expertise can start using new experiences and functions within seconds in this blog post.  
  • Stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter

Forward Looking Statements
This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake’s business strategy, (ii) Snowflake’s products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake’s products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements.  These statements speak only as of the date the statements are first made and are based on information available to us at the time those statements are made and/or management’s good faith belief as of that time. Except as required by law, Snowflake undertakes no obligation, and does not intend, to update the statements in this press release. As a result, you should not rely on any forward-looking statements as predictions of future events.  

Any future product information in this press release is intended to outline general product direction. This information is not a commitment, promise, or legal obligation for us to deliver any future products, features, or functionality; and is not intended to be, and shall not be deemed to be, incorporated into any contract. The actual timing of any product, feature, or functionality that is ultimately made available may be different from what is presented in this press release.

© 2023 Snowflake Inc.  All rights reserved.  Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries.  All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s).  Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).

About Snowflake
Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 639 of the 2023 Forbes Global 2000 (G2K) as of July 31, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.

Media Contact
Kaitlyn Hopkins
Product PR Lead, Snowflake

[email protected] 

Source: Snowflake Inc.

Snowflake Accelerates How Users Build Next Generation Apps and Machine Learning Models in the Data Cloud

  • Snowflake Notebooks unlock data exploration and machine learning development for SQL and Python users with an interactive, cell-based programming environment
  • Snowflake advances Snowpark to streamline end-to-end machine learning workflows with the Snowpark ML Modeling API, Snowpark Model Registry, Snowflake Feature Store, and more
  • Hundreds of Snowflake customers including Cybersyn, LiveRamp, and SNP are increasing developer productivity with the Snowflake Native App Framework and unlocking new revenue streams through Snowflake Marketplace

No-Headquarters/BOZEMAN, Mont. – November 1, 2023 – Snowflake (NYSE: SNOW), the Data Cloud company, today announced at its Snowday 2023 event new advancements that make it easier for developers to build machine learning (ML) models and full-stack apps in the Data Cloud. Snowflake is enhancing its Python capabilities through Snowpark to boost productivity, increase collaboration, and ultimately speed up end-to-end AI and ML workflows. In addition, with support for containerized workloads and expanded DevOps capabilities, developers can now accelerate development and run apps — all within Snowflake’s secure and fully managed infrastructure.

“The rise of generative AI has made organizations’ most valuable asset, their data, even more indispensable. Snowflake is making it easier for developers to put that data to work so they can build powerful end-to-end machine learning models and full-stack apps natively in the Data Cloud,” said Prasanna Krishnan, Senior Director of Product Management, Snowflake. “With Snowflake Marketplace as the first cross-cloud marketplace for data and apps in the industry, customers can quickly and securely productionize what they’ve built to global end users, unlocking increased monetization, discoverability, and usage.”

Developers Gain Robust and Familiar Functionality for End-to-End Machine Learning
Snowflake is continuing to invest in Snowpark as its secure deployment and processing of non-SQL code, 

with over 35% of Snowflake customers using Snowpark on a weekly basis (as of September 2023). Developers increasingly look to Snowpark for complex ML model development and deployment, and Snowflake is introducing expanded functionality that makes Snowpark even more accessible and powerful for all Python developers. New advancements include:

  • Snowflake Notebooks (private preview): Snowflake Notebooks are a new development interface that offers an interactive, cell-based programming environment for Python and SQL users to explore, process, and experiment with data in Snowpark. Snowflake’s built-in notebooks allow developers to write and execute code, train and deploy models using Snowpark ML, visualize results with Streamlit chart elements, and much more — all within Snowflake’s unified, secure platform. 
  • Snowpark ML Modeling API (general availability soon): Snowflake’s Snowpark ML Modeling API empowers developers and data scientists to scale out feature engineering and simplify model training for faster and more intuitive model development in Snowflake. Users can implement popular AI and ML frameworks natively on data in Snowflake, without having to create stored procedures. 
  • Snowpark ML Operations Enhancements: The Snowpark Model Registry (public preview soon) now builds on a native Snowflake model entity and enables the scalable, secure deployment and management of models in Snowflake, including expanded support for deep learning models and open source large language models (LLMs) from Hugging Face. Snowflake is also providing developers with an integrated Snowflake Feature Store (private preview) that creates, stores, manages, and serves ML features for model training and inference. 


Endeavor, the global sports and entertainment company that includes the WME Agency, IMG & On Location, UFC, and more, relies on Snowflake’s Snowpark for Python capabilities to build and deploy ML models that create highly personalized experiences and apps for fan engagement.

“Snowpark serves as the driving force behind our end-to-end machine learning development, powering how we centralize and process data across our various entities, and then securely build and train models using that data to create hyper-personalized fan experiences at scale,” said Saad Zaheer, VP of Data Science and Engineering, Endeavor. “With Snowflake as our central data foundation bringing all of this development directly to our enterprise data, we can unlock even more ways to predict and forecast customer behavior to fuel our targeted sales and marketing engines.”

Snowflake Advances Developer Capabilities Across the App Lifecycle
The Snowflake Native App Framework (general availability soon on AWS, public preview soon on Azure) now provides every organization with the necessary building blocks for app development, including distribution, operation, and monetization within Snowflake’s platform. Leading organizations are monetizing their Snowflake Native Apps through Snowflake Marketplace, with app listings more than doubling since Snowflake Summit 2023. This number is only growing as Snowflake continues to advance its developer capabilities across the app lifecycle so more organizations can unlock business impact.

For example, Cybersyn, a data-service provider, is developing Snowflake Native Apps exclusively for Snowflake Marketplace, with more than 40 customers running over 5,000 queries with its Financial & Economic Essentials Native App since June 2022. In addition, LiveRamp, a data collaboration platform, has seen the number of customers deploying its Identity Resolution and Transcoding Snowflake Native App through Snowflake Marketplace increase by more than 80% since June 2022. Lastly, SNP has been able to provide its customers with a 10x cost reduction in Snowflake data processing associated with SAP data ingestion, empowering them to drastically reduce data latency while improving SAP data availability in Snowflake through SNP’s Data Streaming for SAP – Snowflake Native App.

With Snowpark Container Services (public preview soon in select AWS regions), developers can run any component of their app — from ML training, to LLMs, to an API, and more — without needing to move data or manage complex container-based infrastructure.

Snowflake Automates DevOps for Apps, Data Pipelines, and Other Development
Snowflake is giving developers new ways to automate key DevOps and observability capabilities across testing, deploying, monitoring, and operating their apps and data pipelines — so they can take them from idea to production faster. With Snowflake’s new Database Change Management (private preview soon) features, developers can code declaratively and easily templatize their work to manage Snowflake objects across multiple environments. The Database Change Management features serve as a single source of truth for object creation across various environments, using the common “configuration as code” pattern in DevOps to automatically provision and update Snowflake objects.

Snowflake also unveiled a new Powered by Snowflake Funding Program, innovations that enable all users to securely tap into the power of generative AI with their enterprise data, enhancements to further eliminate data silos and strengthen Snowflake’s leading compliance and governance capabilities through Snowflake Horizon, and more at Snowday 2023.

Learn More: 

  • Read more about how developers are building and deploying ML models with the latest Snowflake and Snowpark advancements in this blog post
  • Learn more about how organizations can use Snowpark Container Services, Snowflake Native Apps, and Hybrid Tables to build, distribute, and operate full-stack apps on Snowflake in this blog post
  • Read how Snowflake Cortex is providing customers with fast, easy, and secure LLM-powered app development in this blog post
  • Explore what’s new in Snowpark ML with this quickstart guide, and follow along the Snowpark ML docs page
  • Ramp up on all things Snowflake Native Apps by signing up for the Snowflake Native App Bootcamp, and checking out this quickstart guide
  • Stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter

Forward Looking Statements
This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake’s business strategy, (ii) Snowflake’s products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake’s products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements.  These statements speak only as of the date the statements are first made and are based on information available to us at the time those statements are made and/or management’s good faith belief as of that time. Except as required by law, Snowflake undertakes no obligation, and does not intend, to update the statements in this press release. As a result, you should not rely on any forward-looking statements as predictions of future events.  

Any future product information in this press release is intended to outline general product direction. This information is not a commitment, promise, or legal obligation for us to deliver any future products, features, or functionality; and is not intended to be, and shall not be deemed to be, incorporated into any contract. The actual timing of any product, feature, or functionality that is ultimately made available may be different from what is presented in this press release.

© 2023 Snowflake Inc.  All rights reserved.  Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries.  All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s).  Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).

About Snowflake
Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 639 of the 2023 Forbes Global 2000 (G2K) as of July 31, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.

Media Contact
Kaitlyn Hopkins
Product PR Lead, Snowflake

[email protected] 

Source: Snowflake Inc.

Snowflake Advances its Trusted Data Foundation to Unite All Data and Extend Its Powerful Governance Capabilities


  • Snowflake eliminates silos and data movement by advancing its support for Iceberg Tables, enabling users to bring all of their data together in the Data Cloud 
  • Snowflake furthers its leading governance and compliance capabilities with new innovations to Snowflake Horizon, enabling users to confidently protect, secure, connect, and access data, apps, and more 
  • Snowflake’s Cost Management Interface brings together existing cost management features and new capabilities so admins gain increased visibility, control, and optimizations of their Snowflake spend, all in one user interface


No-Headquarters/BOZEMAN, Mont. – November 1, 2023 – Snowflake (NYSE: SNOW), the Data Cloud company, today announced at its Snowday 2023 event new enhancements that provide thousands of Snowflake customers that already rely on the Data Cloud as their trusted data foundation with new ways to eliminate silos and bring AI and app development directly to their enterprise data. Snowflake’s latest announcements empower organizations to derive even more value by unifying all of their data in a single data foundation, secured by a powerful governance model, while providing them with leading cost-efficiency and performance. Organizations can now bring any type of development and workload to their data, further unlocking new innovations with the Data Cloud.

“Having a strong data foundation is the key to a successful AI strategy, and Snowflake’s latest innovations ensure that our customers have the ability to leverage data and harness emerging technologies in secure and governed ways,” said Christian Kleinerman, SVP of Product, Snowflake. “Snowflake is making it easier for users to put all of their data to work, without data silos or tradeoffs, so they can create powerful AI models and apps that transform their industries.” 

Snowflake Further Eliminates Data Silos to Fuel Organizations’ Data Strategies
With Snowflake as the data backbone powering organizations’ data and AI strategies, it’s imperative that customers can tap into all of their data and support more workloads to drive impact. Snowflake is further eliminating silos by advancing its support for Iceberg Tables (public preview soon), enabling users to unite all of their data together in the Data Cloud. Iceberg Tables bring Snowflake’s ease of use, performance, and universal governance to data stored and managed externally in the popular open standard Apache Iceberg format, while also allowing access to that data from other engines. Iceberg Tables provide further choice to customers, so organizations can easily support additional architecture patterns to implement their data lake, data lakehouse, data mesh, and data warehouse with Snowflake.

Snowflake Horizon Expands its Leading Governance Capabilities
Snowflake’s single, cross-cloud governance model has always been a powerful differentiator, enabling customers to manage their increasingly complex data ecosystems with simplicity and ease. As a result, Snowflake is enhancing its governance capabilities that thousands of customers already rely on through Snowflake Horizon. Snowflake Horizon is Snowflake’s built-in governance solution with a unified set of compliance, security, privacy, interoperability, and access capabilities in the Data Cloud. Snowflake Horizon makes it easy for customers to govern and take immediate action on data, apps, and more across clouds, teams, partners, and customers — both inside and outside of organizations. Snowflake continues to advance Snowflake Horizon with additional capabilities including:

  • Additional Authorizations and Certifications: Snowflake recently achieved compliance for the UK’s Cyber Essentials Plus (CE+), FBI’s Criminal Justice Information Services (CJIS) Security Policy, IRS’s Publication 1075 Tax Information Security Guidelines, and assessments by the Korea Financial Security Institute (K-FSI), as well as StateRAMP High and U.S. Department of Defense Impact Level 4 (DoD IL4) Provisional Authorization on AWS GovCloud. These reiterate Snowflake’s commitment to providing its customers with the highest security and privacy assurances for their data needs, especially those across the public sector. 
  • Data Quality Monitoring (private preview): Data Quality Monitoring makes it easier for customers to measure and record data quality metrics for reporting, alerting, and debugging. Snowflake is unveiling both out-of-the-box and custom metric capabilities for users, furthering its industry-leading governance capabilities
  • Data Lineage UI (private preview): The Data Lineage UI gives customers a bird’s eye visualization of the upstream and downstream lineage of objects. With this new UI, customers can easily see how downstream objects may be impacted by modifications that happen upstream.
  • Differential Privacy Policies (in development): Customers can protect sensitive data by ensuring that the output of any one query does not contain information that can be used to draw conclusions about any individual record in the underlying data set.
  • Enhanced Classification of Data: Custom Classifiers (private preview), international classification (generally available), and Snowflake’s new UI-based classification workflow (public preview) allow users to define what sensitive data means to their organization and identify it across their data estate. 
  • Trust Center (private preview soon): Snowflake’s Trust Center streamlines cross-cloud security and compliance monitoring in one centralized place to reduce security monitoring costs, resulting in lower total cost of ownership (TCO) and the prevention of account risk escalations. With the Trust Center, organizations can discover security and compliance risks based on industry best practices, with recommendations to resolve and prevent violations.

Snowflake Provides Increased Cost Transparency to Help Customers Better Optimize Spend

Snowflake is making it even easier for customers to manage and optimize their Snowflake spend with the new Cost Management Interface (private preview), bringing together existing cost management features and new capabilities all in one user interface. Admins can now go to a single place in Snowflake to easily understand, control, and optimize their spend with out-of-the-box capabilities. They get more visibility into account-level usage and spend metrics, while seeing how the effective value of their Snowflake credits change over time due to Snowflake’s continued performance improvements. In addition, customers can set limits and notifications to control spend from one place, and can optimize their resource allocation on Snowflake through recommendations (private preview soon). 

Snowflake also announced new innovations that enable all users to securely tap into the power of generative AI with their enterprise data, advancements that make it easier for developers to build ML models and full-stack apps in the Data Cloud, and more at Snowday 2023.

Learn More: 

Forward Looking Statements
This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake’s business strategy, (ii) Snowflake’s products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake’s products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements.  These statements speak only as of the date the statements are first made and are based on information available to us at the time those statements are made and/or management’s good faith belief as of that time. Except as required by law, Snowflake undertakes no obligation, and does not intend, to update the statements in this press release. As a result, you should not rely on any forward-looking statements as predictions of future events.  

Any future product information in this press release is intended to outline general product direction. This information is not a commitment, promise, or legal obligation for us to deliver any future products, features, or functionality; and is not intended to be, and shall not be deemed to be, incorporated into any contract. The actual timing of any product, feature, or functionality that is ultimately made available may be different from what is presented in this press release.

© 2023 Snowflake Inc.  All rights reserved.  Snowflake, the Snowflake logo, and all other Snowflake product, feature and service names mentioned herein are registered trademarks or trademarks of Snowflake Inc. in the United States and other countries.  All other brand names or logos mentioned or used herein are for identification purposes only and may be the trademarks of their respective holder(s).  Snowflake may not be associated with, or be sponsored or endorsed by, any such holder(s).

About Snowflake
Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 639 of the 2023 Forbes Global 2000 (G2K) as of July 31, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.

Media Contact
Kaitlyn Hopkins
Product PR Lead, Snowflake

[email protected] 

Source: Snowflake Inc.

Snowflake Launches Powered By Snowflake Funding Program Investing Up to $100 Million in Innovative Apps in the Data Cloud

  • The funding program features 10 iconic venture capital firms and aims to expand the ecosystem and accelerate growth for startups building Snowflake Native Apps 
  • AWS will provide up to $1M in free Snowflake credits on AWS over four years to Snowflake Native Apps developers

No-Headquarters/BOZEMAN, Mont. – November 1, 2023 – Snowflake (NYSE: SNOW), the Data Cloud company, today announced at its Snowday 2023 event, the launch of the Powered by Snowflake Funding Program, which intends to invest up to $100 million dollars toward the next generation of early stage startups building Snowflake Native Apps. The Powered by Snowflake Funding Program features leading venture capital firms Altimeter Capital, Amplify Partners, Anthos Capital, Coatue, ICONIQ Growth, IVP, Madrona, Menlo Ventures, Redpoint Ventures, and Snowflake Ventures. As part of the Powered by Snowflake Funding Program, Amazon Web Services (AWS) will further fuel growth and innovation by providing up to $1M in free Snowflake credits on AWS over four years to startups building Snowflake Native Apps.

“A new way to deploy enterprise applications is emerging as companies look to bring their apps and application code closer to their data. Innovative enhancements in AI enabled through Snowpark, the Snowflake Native App Framework, and Snowflake’s industry leading data privacy, security, and governance, make it easier than ever for startups to build, deploy, and monetize enterprise apps,” said Stefan Williams, VP Corporate Development and Snowflake Ventures at Snowflake. “With our venture capital partners and AWS, the Powered by Snowflake Funding Program will accelerate this new era of software development.” 

“As more startups build and scale innovative data intensive and AI enriched apps, we want to offer them the resources they need to hit the market faster—and the Snowflake platform is a great example of that,” said Howard Wright, Vice President and Global Head of Startups at AWS. “AWS is thrilled to contribute to the Powered by Snowflake Funding Program and make it easier for builders to connect the dots between enterprises and their customers to deliver even better products and services.”

Apps that are Powered by Snowflake benefit from the speed, scale, performance, and ease-of-use of Snowflake’s platform for accelerated time to market, improved operational efficiency, and a more seamless customer experience. With the Snowflake Native App Framework, generally available soon on AWS, developers can build an app, market, monetize, and distribute it to customers across the Data Cloud ecosystem via Snowflake Marketplace, all from within Snowflake’s secure and governed platform. Secure data collaboration techniques allow companies building apps on Snowflake to access more data – from partners, customers, or data providers – to deliver enhanced insights which can act as a differentiator. 

​​Maxa, winner of this year’s Snowflake Startup Challenge, set out to automate financial and operational (ERP) insights fast, without the age-old headaches associated with running one or many ERP systems. Their business was accelerated with Snowflake Native Apps. “The ability to run Maxa within our end-customer’s Snowflake account, where their data already lives, and in a way that they maintain complete control of it, fundamentally changed our business. Launching as an enterprise-grade startup from the very beginning, we’re able to sell and securely deliver value to some of the world’s largest companies. And being able to distribute and monetize on Snowflake Marketplace has made it easy to connect with customers,” said Alexis Steinman, co-CEO at Maxa. “As the 2023 Startup Challenge winner and a company that was born in the Data Cloud, we’ve gotten to experience first-hand the incredible technology and business opportunities available to startups in the Snowflake ecosystem.” 

Snowflake also unveiled advancements that make it easier for developers to build ML models and full-stack apps in the Data Cloud, innovations that enable all users to securely tap into the power of generative AI with their enterprise data, enhancements to further eliminate data silos and strengthen Snowflake’s leading compliance and governance capabilities through Snowflake Horizon, and more at Snowday 2023

Comments from Program Participants –

Brad Gerstner, Founder and CEO at Altimeter Capital – “Leading data and AI companies are increasingly building their entire business on the Snowflake platform. As we did with Samooha, one of the first adopters of Snowflake Native Apps, we are happy to partner with Snowflake to accelerate this incredible progress.”

Mark LaRosa, Partner at Amplify Partners “The ability to deploy a new product offering and connect to the end-customer’s data is a paradigm shift in how B2B software is sold and delivered. Historically, startups encountered a byzantine maze of security approvals, vendor reviews, and more just to get through a mere evaluation, let alone production-level access to data. Snowflake is at the forefront of streamlining this deployment and massively accelerating adoption for both companies as well as end users. We’re looking forward to Snowflake Native Apps enabling a new class of startups and are excited to deepen our partnership with Snowflake to help catalyze their growth.”

Sam Teden and Jeff Stapleton, Investors at Anthos Capital – “We believe Snowflake will fundamentally change how software is delivered and we are thrilled to be partnering on this funding program. Having the ability to build directly on Snowflake enables entrepreneurs and companies to go to market more quickly and eliminates common compliance hurdles faced by B2B software companies. Anthos is proud to support the effort to accelerate the shift in mobilizing data.” 

Andy Chen, General Partner, Coatue – “The data platform is one of the most important components of the modern data stack and we expect to see a generation of new startups that will be built on top of data leaders, like Snowflake. We are thrilled to join Snowflake and fellow investors to spark this new wave of innovation.”

Matt Jacobson, General Partner, ICONIQ Growth – “One of the most difficult challenges startups face is earning the trust of their prospective customers, especially when their product requires access to their customers’ data. Snowflake Native Apps are changing this dynamic by allowing startups to deploy their data-intensive and AI-infused apps entirely within the end customer’s data platform – eliminating data movement and significantly strengthening trust. ICONIQ Growth is excited to continue its long-standing partnership with Snowflake and support this new era of development helping startups build apps to put data to work.” 

Shravan Narayen, Partner at IVP – “As a former Snowflake PM, I’ve seen firsthand how Snowflake Native Apps can transform development and enterprise adoption for data-intensive applications. We look forward to collaborating with Snowflake and these ambitious founders as they scale.”

Somasegar, Managing Director, Madrona – “Every company is building Intelligent Applications leveraging the power of data and AI that they have access to. These applications want to stay close to the data, which for many enterprises is already in Snowflake,” said S. Somasegar, Managing Director, Madrona. “The Snowflake Data Cloud and the program to nurture and support startups building Snowflake Native Apps means that enterprises will have an easier on-ramp to offering Intelligent Applications and startups will have the fuel they need to build and sell enterprise grade AI-driven applications. We are excited to work with Snowflake and start-ups through this new program.”

Tim Tully, Partner, Menlo Ventures – “We’re excited to partner with Snowflake to help this new generation of software companies, which have data and AI at their core, develop innovative products and scale their businesses.”

Satish Dharmaraj, Managing Director at Redpoint Ventures – “As a longtime partner of Snowflake, we continue to be excited about the pivotal role Snowflake plays in the industry for companies of all sizes, but especially those just getting started on their journey. We’re in such early innings of AI and it’s incredibly impactful to see Snowflake making it easier for the next generation of Snowflake Native App builders to build and scale their businesses.”

Learn More: 

The “Powered by Snowflake Funding Program” is a program designed to drive awareness and creation of Snowflake Native Apps. Snowflake does not receive any compensation from the startups or the venture capital firms for their participation in the program. While the participating venture capital firms may invest in the startup companies, Snowflake plays no role in their decision-making process, and there is no guarantee that any particular company will receive funding through the program or that the target amount will be invested. Snowflake is not a registered broker-dealer, investment adviser, or other similar intermediary.

About Snowflake
Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 639 of the 2023 Forbes Global 2000 (G2K) as of July 31, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.

Media Contact
Danica Stanczak

Global Corporate Communications Lead, Snowflake

[email protected] 

 

Source: Snowflake Inc.

 

Snowflake to Present at Upcoming Investor Conferences

No-Headquarters/BOZEMAN, Mont. – October 30, 2023 – Snowflake (NYSE: SNOW), the Data Cloud company, today announced it will release its financial results for the third quarter of fiscal year 2024, which ends October 31, 2023, following the close of the U.S. markets on Wednesday, November 29, 2023. Snowflake will host a conference call to discuss the financial results.

Conference Call Details

The conference call will begin at 3 p.m. Mountain Time on November 29, 2023. Investors and participants may attend the call by dialing (833) 470-1428 (Access code: 973189), or if outside the United States, by dialing +1 (929) 526-1599 (Access code: 973189). 

The call will also be webcast live on the Snowflake Investor Relations website.

An audio replay of the conference call and webcast will be available two hours after its completion and will be accessible for 30 days on the Snowflake Investor Relations website.

About Snowflake

Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, power data applications, and execute diverse AI/ML and analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 639 of the 2023 Forbes Global 2000 (G2K) as of July 31, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.

Investor Contact

Jimmy Sexton

Head of Investor Relations

[email protected] 

Press Contact

Eszter Szikora

Head of Public Relations 

[email protected]