Postgres Extensions Cheat Sheet: Replace 7 Databases With SQL (opens in new tab)

This guide shows how modern Postgres extensions can replace large parts of today’s fragmented infrastructure stack. Using pgvector, TimescaleDB, pgmq, PostGIS, pg_cron, and BM25 search, developers can run vector AI search, time-series workloads, caching, queues, geospatial queries, and scheduled jobs directly inside Postgres with fewer services, lower complexity, and unified SQL workflows.