A universal interface: How QuintoAndar made ClickHouse plug-and-play with managed Postgres
Blog post from ClickHouse
QuintoAndar, Latin America’s largest housing platform, is rebuilding its customer data platform on ClickHouse Cloud to process nearly 900 million raw monthly events from 14 million users and support roughly 300 million API requests. The change replaces a complex Lambda architecture that relied on separate Postgres and Databricks pipelines, reducing duplicate-event processing, costly Delta Lake merges, and maintenance of multiple codebases while preserving low-latency access for internal services and analytics. Although Hightouch Customer Studio did not natively support ClickHouse, the team used ClickHouse Managed Postgres and its pg_clickhouse extension to expose ClickHouse tables through a Postgres-compatible interface, allowing Hightouch to run analytical queries in ClickHouse while retaining its operational sync-state tables in Postgres. This approach enabled QuintoAndar to keep its existing marketing activation tooling, maintain access controls, integrate with Trino, Spark, and Superset, and make ClickHouse available to other third-party tools that support PostgreSQL.
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