We use this solution to move on-prem data to a cloud data warehouse where we have a requirement for more computation storage or when we need a plugin to work with specific technologies like ML, AI and Data Science.
Snowflake Analytics Overview
Snowflake Analytics Buyer's Guide
Download the Snowflake Analytics Buyer's Guide including reviews and more. Updated: June 2022
What is Snowflake Analytics?
Conventional data platforms and big data solutions struggle to deliver on their fundamental purpose: to enable any user to work with any data, without limits on scale, performance or flexibility. Whether you’re a data analyst, data scientist, data engineer, or any other business or technology professional, you’ll get more from your data with Snowflake.
To achieve this, we built a new data platform from the ground up for the cloud. It’s designed with a patented new architecture to be the centerpiece for data pipelines, data warehousing, data lakes, data application development, and for building data exchanges to easily and securely share governed data. The result, A platform delivered as a service that’s powerful but simple to use.
Snowflake’s cloud data platform supports a multi-cloud strategy, including a cross-cloud approach to mix and match clouds as you see fit. Snowflake delivers advantages such as global data replication, which means you can move your data to any cloud in any region, without having to re-code your applications or learn new skills.
Snowflake Analytics Customers
Lionsgate, Adobe, Sony, Capital One, Akamai, Deliveroo, Snagajob, Logitech, University of Notre Dame, RunkeeperSnowflake Analytics Video
Snowflake Analytics Pricing Advice
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Buyer's Guide
Snowflake Analytics
June 2022
Learn what your peers think about Snowflake Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: June 2022.
608,010 professionals have used our research since 2012.