Case Study: Opensee analyzes terabytes of financial data daily with ClickHouse

Opensee Analyzing Terabytes of Financial Data a Day With ClickHouse

Opensee, a financial technology company serving banks, asset managers, hedge funds, and trading platforms, needed a way to analyze hundreds of terabytes of financial data in real time without sacrificing granularity. To power its self-service analytics platform, Opensee evaluated several big-data approaches and chose ClickHouse as the underlying data storage and analytics engine for scalable, fast OLAP queries.

Using ClickHouse, Opensee built a horizontally scalable solution that supports trillions of data points, fast calculations, array handling, and real-time access to highly granular historical data. The result was a turn-key financial analytics platform that can analyze all data in one place with no need for pre-aggregation, while dividing hardware costs by 10x or more compared with in-memory alternatives; ClickHouse also helped Opensee deliver high availability and lower-cost deployment on standard servers, on-premise or in the cloud.

Opensee

Christophe Rivoire

UK Country Manager