The world's most advanced open-source relational database — 30 years of battle-tested reliability, and still the default choice for serious production work.
PostgreSQL is the open-source relational database that developers reach for when they want a real database. It has the ACID guarantees, the SQL compliance, the replication story, and the extension ecosystem that the alternatives either approximate or pay extra for. Where Postgres stands out: rich data types (JSONB, arrays, ranges, hstore, ltree, geometric types, network address types), extensions (PostGIS for geography, pgvector for embeddings, pg_trgm for fuzzy text search, TimescaleDB for time-series, Citus for sharding), and a query planner that consistently outperforms its open-source peers on complex analytical queries. Postgres is not the fastest key-value store, not the best graph database, not the cheapest blob store — but for 90% of application data, it is the right answer. Hosted options (Supabase, Neon, AWS RDS, Crunchy Bridge) make the operational side of Postgres largely invisible.
Native binary JSON with indexable keys — best of relational and document in one column.
PostGIS, pgvector, pg_trgm, TimescaleDB, Citus — the extension ecosystem is unmatched.
Multi-version concurrency control gives readers non-blocking reads under write load.
Synchronous and async replication, logical replication for selective table sync.
Analytical queries that would be impossible (or slow) elsewhere work natively.
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We had a 6TB analytics workload we ran on Postgres. It worked, but the vacuum operations were a real pain. Migrated to Snowflake for analytics, kept Postgres for OLTP. Right tool for the right job.
pgvector replaced our Pinecone deployment. The recall is good enough for our use case and we save $400/month. Migration was a single SQL file.
We had a 6TB analytics workload we ran on Postgres. It worked, but the vacuum operations were a real pain. Migrated to Snowflake for analytics, kept Postgres for OLTP. Right tool for the right job.
pgvector replaced our Pinecone deployment. The recall is good enough for our use case and we save $400/month. Migration was a single SQL file.
We had a 6TB analytics workload we ran on Postgres. It worked, but the vacuum operations were a real pain. Migrated to Snowflake for analytics, kept Postgres for OLTP. Right tool for the right job.
pgvector replaced our Pinecone deployment. The recall is good enough for our use case and we save $400/month. Migration was a single SQL file.