PUBLIC PREVIEW ANNOUNCEMENT
Use the language of your choice and familiar data frame constructs to build powerful and efficient pipelines and apps with the performance and ease of use of Snowflake’s processing engine.
Simplify developing data-intensive applications that scale cost-effectively and consistently to deliver fast analytics
POWERED BY SNOWFLAKE
Snowflake’s Data Cloud powers applications with virtually unlimited performance, concurrency, and scale.
Launch new features faster with simplified data pipelines and improved engineering efficiency. Delivered as a service, Snowflake handles the infrastructure complexity, so you can focus on innovating with the data applications you build.
Consistently deliver on performance SLAs with Snowflake’s multi-cluster, shared data architecture. Spin up dedicated compute resources instantly to support a near-unlimited number of concurrent users and workloads, and without degrading performance.
Build applications that deliver fresh insights from semi-structured data faster without having to dedicate engineering teams to prepare data and maintain pipelines. Use ANSI SQL for all data, including support for joins across data types and databases.
Improve engineering productivity thanks to Snowflake, which automatically handles provisioning, availability, tuning, data protection, and other Day-2 operations seamlessly across multiple clouds so you don’t have to.
Snowflake automatically scales compute resources, up and down, for virtually unlimited concurrency without impacting performance or having to reshuffle data.
Eliminate the need to preprocess semi-structured data. Deliver fresh insights faster with Snowflake’s VARIANT data type.
Accelerate time to market of new features with simplified DevOps workflows and automated Day-2 operations.
“Snowflake was the only alternative that was cost effective, scales very well, and is very easy to maintain.”
“We were able to just stand up Snowflake, pump raw JSON directly into it, and run queries against huge data sets. We didn’t need a team of engineers, keeping a Hadoop environment running.”
Director of Software Engineering, Blackboard
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Build simple, reliable data pipelines in the language of your choice.
Eliminate data silos and instantly and securely share governed data across your organization, and beyond
Improve data access, performance, and security with a modern data lake strategy.
Accelerate your data science workflows with access to more data, faster feature engineering, and direct integrations to leading ML tools.
Enable everyone in your organization with fast access to a single source of data and eliminate the cost, complexity, and latency of your traditional data warehouse.