Case Study: FINRA achieves faster, scalable analytics on 25PB of data with Starburst Enterprise

Analyzing 80 Billion Trade Records Daily Using AWS and Starburst Enterprise

FINRA, the Financial Industry Regulatory Authority, needed a way to analyze rapidly growing trading and market data at massive scale after its legacy on-premises data warehousing systems became siloed, expensive, and too slow to support interactive analytics. To modernize, FINRA moved to an AWS data lake architecture and selected Starburst Enterprise to query its multi-petabyte environment with SQL.

Using Starburst Enterprise, FINRA separated compute and storage, queried data directly from Amazon S3, and enabled concurrent ad hoc analytics, BI, reporting, and web applications with faster access to insight. The result was a more scalable, elastic, and cost-effective platform that supports analysis of 25PB of data and about 100B new rows per day from 25+ sources, with query SLAs measured in seconds and improved performance plus lower EC2 costs.

FINRA

Ivan Black

Director