Data Warehouse Modernization
A modern solution for modern analytics
Traditional data warehouse solutions were not designed to handle the rapid growth of data and varying data types. Nor can these legacy solutions keep pace with the changing needs of data analytics users and applications that rely on the data warehouse.
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, without impacting performance.
Consolidate data marts
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.
Handle any scale of data, workloads, and users
Deliver rapid insights at any scale without the complexity and headaches of traditional data warehouse or NoSQL solutions.
Support modern data and applications
Build and deploy innovative analytics applications and delivered by a data warehouse that can seamlessly adapt to rapidly growing and changing demands.
The Snowflake Difference
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 near zero-management solution, you can focus on using data to drive insights instead of the overhead of maintaining a legacy data warehouse or NoSQL solution.
How organizations modernize their data analytics
Watch how professionals just like you reaped the benefits of moving to Snowflake's cloud-built data warehouse.
Why cloud data warehousing emerged
Read how the benefits and shortcomings of legacy solutions brought forth the modern data warehouse.
Read any of Snowflake's migration guides, reference manuals and executive white papers to get the technical and business insights of how and why you should migrate off of your legacy data warehouse.
Gigaom Sector Roadmap: Cloud Analytic Databases 2017
Read Gigaom’s evaluation of the leading vendors for cloud data warehousing.
How to improve the ROI of Your Data Warehouse
Many organizations struggle with the straightforward but challenging problem of affordably housing all their data and simultaneously supporting all 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
Start Planning Your Modernization
Want more information about how to solve your biggest data analytic challenges? Visit our resource center to explore all of our informative and educational ebooks, case studies, white papers, videos and much more.