Data Analytics Applications
Easily power applications with data insights from multiple data sources
At an increasing rate, organizations across many industries are creating and applying innovative data-analytics driven applications for everything from improving internal, operational processes and to providing exceptional customer experiences. Applications such as live clickstream analytics to improve a company’s website performance, customer analytics that better target promotional activities based on personal preferences, and distribution of healthcare services based on demographics and geographical region, all depend on timely and reliable analytics.
However, traditional data warehouses and big data analytics platform approaches struggle with seamlessly combining data from multiple sources. Complexity and inflexibility create obstacles that add difficulty, cost, and delay to the development, deployment of data-driven apps, or the platforms introduce processing times that inhibit low-latency, interactive analytics that data-driven apps require.
Snowflake is the ideal data warehouse and analytic engine to power next-generation data applications. Snowflake’s cloud data warehouse not only relieves data warehouse managers from the burden of deploying and managing infrastructure, Snowflake also can scale painlessly as usage or as concurrency grows.
Build your applications with a data warehouse that eliminates the need to manage infrastructure, tuning and availability so you can focus on building and deploying applications to leverage true data insight.
Scale up, down or out automatically and without disruption. Handle any scale of data, workload and concurrency your applications and customers need, while paying only for what you use.
Consistently great performance
Snowflake makes it possible to provide real-time analytics insight. Its unique architecture and automatic optimization can load and process data at any time without degrading performance.