REVEAL THE DIFFERENCE
MODERNIZE YOUR DATA ANALYTICS WITH SNOWFLAKE
The six defining characteristics of the modern data warehouse built for the cloud:
Complete SQL database
Support the tools millions of business users already know how to use today.
Built-in performance, security and high availability so there’s no infrastructure to tweak, no knobs to turn and no tuning required.
Pay only for what you use
Independently scale storage, compute, and data warehouse services up and down, seamlessly, and without disruption.
All your data
Create a single source of truth to easily store, integrate and extract critical insight from petabytes of structured and semi-structured data (JSON, Parquet, AVRO and XML).
All your users
Provide access to an architecturally unlimited number of concurrent users and applications without eroding performance.
Easily forge one-to-one, one-to-many and many-to-many data sharing relationships by sharing secure and governed data in real time. No data movement required.
Schedule a meeting with us and we’ll show you how Snowflake delivers performance, simplicity, concurrency, and affordability not possible with other data warehouse platforms.
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Gigaom Ranks Snowflake #1 cloud data warehouse
Gigaom Sector Roadmap for Cloud Analytic Databases 2017 evaluates vendors solutions over six disruption vectors: robustness of SQL, built-in optimization, on-the-fly elasticity, dynamic environment adaption, separation of compute from storage, and support for diverse data.
We are proactively building the future of our business by leveraging Snowflake and Microsoft Azure.
Srini Varadarajan, Chief Technology Officer, Nielsen Buy
We are an early adopter of Virtual Private Snowflake because it gives us the ability to process data at lightning fast speed and deliver automated, intelligent solutions to our customers in real time.
– Linda Apsley, Vice President of Data Engineering, Capital One
Snowflake and Tableau allow us to quickly explore datasets of well over a billion rows without any need to worry about writing optimized SQL, adding indexes, or adding complicated steps to our data pipeline.
– Andy Gilbertson, VP Business Intelligence, PerBlue
After combining our data lake and data warehouse onto Snowflake, our marketing department now has the unique ability to have a 360o view of our customers. They will be able to do better targeted marketing to our members and promotions targeted at members.
– Erick Roesch, Director of BI & Data Warehouse, Rue La La
The value prop that Snowlake had was a separation of compute and data and that elasticity, where we only pay as we go was very very appealing.
Tito Mijares, Senior Director, Data Management, OnDeck
It’s time to make the switch and modernize with the cloud-built data warehouse that’s achieved a 100% customer satisfaction rating.
If you were happy with the purpose-built analytics of Netezza, you’ll be blown away with Snowflake