The only big data warehouse built for the cloud
Conventional data warehouses and big data solutions increasingly struggle to deliver on their fundamental purpose: to make it easy to amass all your data, enable rapid analytics, and quickly make data insights available to all of your users and systems that need them.
To solve that, we built a new SQL data warehouse from the ground up for the cloud, one designed with a patented new architecture to handle today’s and tomorrow’s data and analytics. The result? A data warehouse that delivers performance, simplicity, concurrency and affordability not possible with other data analytics platforms.
Snowflake changes the way you think about data warehousing. Watch this short video to learn how a unique approach and architecture allow Snowflake to address the challenges of today’s data and analytics.
Complete SQL database
Snowflake was built with broad support for standard SQL so that you can leverage your current skills and tools. Updates, deletes, analytical functions, transactions and complex joins give you the full capabilities you need to make use of your data.
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastrastructure to manage and no knobs to turn. Snowflake automatically handles infrastructure, optimization, availability, data protection and more so that you can focus on using your data.
Snowflake understands all your business data, whether from traditional sources or newer machine-generated sources, without requiring cumbersome transformations and tradeoffs. Snowflake’s patented technology natively loads and optimizes both structured and semi-structured data like JSON, Avro, or XML and makes it available via SQL without sacrificing performance or flexibility.
Snowflake processes reports and analytics at lightning speed because our columnar database engine uses advanced optimizations to efficiently crunch data. Combine that with our ability to scale up and down on the fly and you get exactly the performance you need, exactly when you need it.
Any scale of data, workloads, and users
Snowflake’s patented multi-cluster, shared data architecture separates storage and compute, making it possible to scale up and down on-the-fly, without downtime or disruption. Automatically scale to support any scale of data, workload, and concurrent users and applications without requiring data movement, data marts, or data copies.
Pay only for what you use
Usage-based pricing for compute and storage means that you only pay for the amount of data you store and the amount of processing performed. No more big upfront costs, overprovisioned systems, or idle clusters consuming money.
Snowflake has rid Chime of the restriction of a rigid data modeling world, allowing for a much faster pace of business and far greater efficiencies for our small technology team.
– Ethan Erchinger, Director of Operations at Chime
Snowflake’s unique architecture enables all of our teams to work with data in one system, without impacting performance and without DBA experience.
– Josh McDonald, Director of Analytics Engineering, KIXEYE
We went from using 14 technologies to a stack of four powerhouses — AWS, Snowflake, Fivetran and MicroStrategy – all managed by a single person.
– Joseph Bates, Head of Analytics, ShareThrough
Architecture Built for the Cloud
Snowflake is built for the cloud with a unique architecture designed from the ground up to take full advantage of the cloud. Learn more from Snowflake’s founders about what makes Snowflake’s architecture ideal for the cloud.