Case Study: Skool achieves lightning-fast analytics and scalable observability with ClickHouse

How Skool’s migration from Postgres to ClickHouse transformed their analytics

Skool, an all-in-one community platform, needed a more scalable analytics database as its user base grew. Its original Postgres setup handled both transactional and analytics workloads, but by 2022 analytics queries were taking minutes and the system was struggling under the load of more than 100 million telemetry records per day.

ClickHouse moved Skool’s analytics to ClickHouse Cloud, giving the team lightning-fast query performance with little optimization effort. The result was a shift from minutes to seconds for analytics queries, along with scalable real-time observability, experimentation, and behavioral analytics powered by ClickHouse.

Skool

Jason Anderson

Head of Data