Traditional data warehouse solutions were not designed to handle the rapid growth in data and varying data types. They also were not designed to keep pace with the changing needs of end users and the applications that rely on them.
Only a data warehouse with a cloud-built data architecture makes it possible to support your current and future data analytics workloads at any scale.
Take advantage of a modern architecture that brings together all your data in one place and makes it available to all your users and applications.
Deliver rapid insights at any scale without the complexity and headaches of traditional data warehouse or noSQL solutions.
Build and deploy innovative analytics applications delivered by a data warehouse that can seamlessly adapt to rapidly growing and changing demands.
Snowflake’s patented multi-cluster, shared data architecture makes it possible to support any scale of data, workload, and users. Its innovative approach to supporting both semi-structured and structured data in a single system makes it ideal for combining data into one location. With Snowflake’s zero-management solution, you can focus on using data to drive insights instead of the overhead of maintaining a legacy data warehouse.
Customer Testimonials
Watch how professionals just like you reaped the benefits of moving to Snowflake's cloud-built data warehouse.
eBook
Read how the benefits and shortcomings of legacy solutions brought forth the modern cloud-based data warehouse.
Guides
Read any of Snowflake's migration guides, reference manuals, and executive white papers to get technical and business insights on how and why you should migrate away from your legacy data warehouse.
eBook
Read Gigaom’s evaluation of the leading vendors for cloud data warehousing.
File Download
Many organizations struggle with the challenging problem of affordably housing all their data and simultaneously supporting their analytics needs. Read this report to see how.
We are an early adopter of Virtual Private Snowflake because it gives us the ability to process data at lightning fast speed and deliver automated, intelligent solutions to our customers in real time.
– Linda Apsley, Vice President of Data Engineering, Capital One
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