How to build a unified data stack with Postgres and ClickHouse

How to build a unified data stack with Postgres and ClickHouse

Most teams running Postgres for transactions end up managing a second system for analytics. Postgres managed by ClickHouse changes that: enterprise-grade, NVMe-backed Postgres for transactional workloads, native CDC into ClickHouse for real-time analytics, and a unified query layer that spans both. No pipelines to build, no integrations to maintain, just one platform for transactional and analytical workloads. Join us to see how it works end to end.

What we'll cover:

• The unified stack. How NVMe-backed Postgres, real-time CDC replication into ClickHouse, and pg_clickhouse work together to replace the two-database setup most teams are running today. - Live demo. Replicating Postgres data to ClickHouse in real time and running analytics through the unified query layer.
• Performance and reliability. Up to 10X faster for disk-bound Postgres workloads. Up to 100X faster analytics. Enterprise-grade HA, point-in-time recovery, and the same security controls as ClickHouse Cloud.
• **Customer stories. **ChatFeatured migrated from PlanetScale Postgres and cut analytics query times from 2.5 minutes to under a second. QuintoAndar, Brazil's leading housing platform, adopted Postgres managed by ClickHouse so its marketing team could keep Hightouch's full feature set while migrating off their previous data warehouse.