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Enable your organization to be data-driven with Snowflake

The data warehouse build for the cloud.

Conventional data warehouses and big data solutions struggle to deliver on their fundamental purpose: to make it easy to amass all your data, enable rapid analytics, and derive data-driven insights for all your business users. A data warehouse that delivers the performance, simplicity, concurrency and affordability not possible with other data warehouses.

Snowflake use cases enabled by us

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DevOps

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.

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Serverless

Easily and affordably combine diverse data for exploration, experimentation, and refinement without sacrificing performance.

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Accelerating Analytics

Deliver rapid data insights to analysts at any scale of data, workload, and concurrency, without needing to manually tune and optimize a data warehouse.

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Secure Data Sharing

Seamlessly share data both inside and outside of your organization without copying, transferring, or manually transforming data.

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Enabling Developers

Easily and affordably combine diverse data for exploration, experimentation, and refinement without sacrificing performance.

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Security, Compliance, Anti-Fraud

Aggregate and analyze all your data in the cloud for better, faster and more cost-effective threat defense and regulatory compliance.

Why Snowflake?

Breathtaking Performance

Snowflake is built for speed, even with the most intense workloads. Its patented architecture separates compute from storage so you can scale up and down on the fly, without delay or disruption. You get the performance you need exactly when you need it.

Uncompromising Simplicity

With Snowflake, you can concentrate on solving business problems rather than managing your data warehouse. Snowflake is a zero-management data warehouse-as-a-service.

Unlimited Concurrency

Snowflake can support unlimited concurrency with its unique multi-cluster, shared data architecture. This allows multiple compute clusters to operate simultaneously on the same data without degrading performance.

Built for the cloud

Conventional data warehouses and big data solutions struggle to deliver on their fundamental purpose: to make it easy to amass all your data, enable rapid analytics, and derive data-driven insights for all your business users.

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