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Re-invent your analytics with Snowflake

The modern data platform built for any cloud.

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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. Snowflake delivers the performance, simplicity, concurrency and affordability not possible with other data warehouses.

Snowflake use cases enabled by us

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Data Warehouse Modernization

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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Insights from your Data Lake

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

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Accelerating Analytics

Deliver rapid data insights at any scale of users, workload, and concurrency, and without the need to manually tune and optimize your data platform.

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Enabling Developers

From data science to embedded applications, see how Snowflake enables developers to build the applications and services that put data to full use.

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Data Engineering

Load data continuously with streamlined data transformation thanks to robust and integrated data pipelines.

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Data Science

Simplify and accelerate machine learning and artificial intelligence with a centralized source of high performance data and compute power that scales instantly and near-infinitely.

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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