Case Study: Storj cuts BigQuery cloud data warehouse spend by $10K+ with Revefi

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Preview of the Storj Case Study

Cutting Cloud Data Warehouse Spend by $10K+ on BigQuery

The customer, Storj, a cloud storage provider, faced challenges in managing and reducing its spending on its Google BigQuery cloud data warehouse. The company needed to reduce troubleshooting time, gain actionable insights from its data, and specifically tackle large queries to shrink its bills without using custom, automated monitoring tools. To address this, Storj partnered with the vendor, Revefi, and implemented its Data Operations Cloud solution.

By using Revefi, Storj automatically gained monitors and alerts for its data warehouse, providing immediate visibility into data usage and health. This solution enabled the company to reduce requests from its service accounts and applications. As a direct result, Revefi helped Storj cut its cloud data warehouse spending by over $10,000, while also providing greater confidence for future scaling and a 360-degree view of data quality.


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