Snowflake & Capital One talk data management

Patrick Barch, senior director of product management for Capital One Software, sat down to talk all things data management, adopting Snowflake and what led us to develop Capital One Slingshot. Check out the interview on the Powered by Snowflake series.

A closer look at why we built Capital One Slingshot

As Capital One moved to the cloud and completely modernized our data ecosystem, we needed to think differently and adopt new patterns for key use cases. One of the first decisions that we made was to adopt Snowflake as our cloud data warehouse. The flexibility of Snowflake helped us unlock access to our data with performance that enables near-infinite scalability.

But adopting Snowflake as our cloud data warehouse presented new challenges:

  • Increased cloud spend with a need for more cost visibility
  • Time spent managing warehouses
  • Central IT teams became a bottleneck for LOBs

Ultimately we needed a faster path to Snowflake adoption, which led us to develop a new tool in-house: Capital One Slingshot.

We built Slingshot to:

  • Gain additional cost and performance insights
  • Set optimal warehouse sizes and schedules
  • Help manage our Snowflake spend
  • Automate critical governance processes

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Accelerate Snowflake adoption, manage cloud costs and automate governance.

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So, how has Slingshot helped us so far?

Slingshot enables cloud cost management through proactive alerts, recommendations and real-time performance dashboards. It makes provisioning easy, accelerates user adoption and decreases time to value. Slingshot automates governance using custom workflows, dynamic warehouse provisioning and self-service capabilities. This helped us manage and grow our data ecosystem, while saving time and money. We went from managing ~500 TB to 45 PB in Snowflake with the same resources, saved 27% over projected costs and 50K hours of manual effort. Curious if Slingshot could help you and your business on your data journey? Learn more at

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