Case Study: Preqin achieves real-time data ingestion and faster market insights with Rivery

A Rivery Case Study

Preview of the Preqin Case Study

Instant, cost-effective change data capture for more efficient data ingestion and faster response times

Preqin, a London-based financial services company that provides alternative investment data and real-time market insights to more than 170,000 professionals, needed a better way to support change data capture after moving to the cloud. Its existing tool did not fully support CDC, had unclear pricing with hidden costs, and needed to work smoothly with Snowflake. Preqin chose Rivery for its fully managed data operations platform and CDC capabilities.

Rivery enabled Preqin to instantly capture changes from Microsoft SQL Server and MySQL and load them into Snowflake, while also connecting Salesforce and other sources through 190+ pre-built connectors. With Rivery, Preqin improved data ingestion speed and efficiency, reduced maintenance work, and saved money thanks to transparent, consumption-based pricing. The result was a more responsive data infrastructure that helped Preqin deliver better, faster information to clients.


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