the developer’s data platform
Helping data scientists and engineers build their products and services
Data scientists, engineers, and developers require a platform that can adapt to their needs on the fly and support all of their products and services at the same time. Traditional data warehouses and big data tools simply don’t have the flexibility, elasticity, or concurrency capabilities they need.
Snowflake has all of the built-in data warehouse design flexibility developers look for. It’s completely new architecture takes advantage of cloud elasticity to offer nearly unlimited data storage and completely decoupled from flexible compute resources that can serve any need. All of this functionality is accessed with standard SQL, putting the power of data within the reach of the entire team.
AI, ML, and Data Science
Snowflake has the flexibility and elasticity to support any data science workload. With integrations to Spark, Python, R, and many other services, data scientists across every industry are finally able to deliver on the promise of their data.
Delivering data to customers and partners has never been more important. See how Snowflake’s innovative cloud architecture can elastically support the customer-facing applications you want to build.
Building any modern product or service requires massive amounts of storage and compute capacity. See how Snowflake customers are building on top of our platform.
3 Tips for Building Modern Data Applications
This complimentary guide will give you the insights and direction you need to overcome the scalability, concurrency and performance limitations of legacy architectures.
We are proactively building the future of our business by leveraging Snowflake and Microsoft Azure.
Srini Varadarajan, Chief Technology Officer, Nielsen Buy
We feel very confident that whatever we run into, we’ll scale Snowflake to meet the performance requirements of our pharmacy customers.
– John Foss, Director of Business Intelligence at PDX
“Customers immediately saw that Snowflake Data Sharing could potentially eliminate their ETL processes.”
Michal Klos, Director of Engineering