01What happened
The story, straight
ClickHouse has released PostgresBench, an open and reproducible benchmark designed to compare managed PostgreSQL services. The tool mirrors the methodology of ClickBench, ClickHouse's widely referenced OLAP benchmark that tests more than 40 databases using public datasets, queries, and results. ClickHouse is positioning its own managed Postgres offering as one of the fastest available, noting that Postgres handles transactional workloads while ClickHouse handles analytics, forming a unified data stack for SaaS and AI applications.
ClickHouse dropped PostgresBench — a public, reproducible benchmark for comparing managed Postgres services. It's modeled after ClickBench, their existing OLAP benchmark that already covers 40+ databases. The move lets ClickHouse put its own managed Postgres offering against competitors using transparent methodology. Anyone can validate the numbers or submit improvements.
02Spread timeline
Where it actually started
03Source receipts
Every claim, linked
04What's solid, what isn't
What's solid and what isn't
- ClickHouse launched PostgresBench, an open benchmark for managed PostgreSQL services.
- The benchmark follows the methodology of ClickBench, which covers 40+ databases.
- ClickHouse positions its managed Postgres as complementary to its analytical database.
- Performance claims comparing ClickHouse's managed Postgres to specific competitors like AWS RDS or Supabase.
- Whether competing managed Postgres providers will submit their own numbers or challenge the benchmark.
05Why it matters
The editorial take
ClickHouse is doing something unusual here: benchmarking its own product in public and inviting competitors to do the same. In a managed-database market crowded with offerings from AWS, Google Cloud, Supabase, and others, an open benchmark could pressure providers to actually show their performance numbers instead of hiding behind marketing claims. It also signals that ClickHouse sees Postgres not as a rival to its columnar database, but as a complement — transactional and analytical workloads living side by side.
Self-benchmarking your own product in public is a flex and a challenge. If AWS RDS or Supabase don't submit their numbers, that silence tells its own story. ClickHouse betting that Postgres and analytical databases are complementary — not competitors — is the real play here.