# PostgreSQL

The world's most advanced open source relational database.

Canonical page: https://indiestore.co/product/postgresql
Official website: https://postgresql.org/
Category: Databases
Audience: Developers, DBAs, enterprises, and data engineers who need a reliable, feature-rich, standards-compliant relational database for any scale of workload.

## About
35+ years of active development, battle-tested at massive scale — the gold standard of open-source relational databases trusted by every major tech company.

## Overview
PostgreSQL supports advanced data types, complex queries, foreign keys, triggers, views, transactional integrity, and multiversion concurrency control (MVCC). Its extension ecosystem includes pgvector for AI workloads, PostGIS for geospatial data, and timescaledb for time-series. It runs anywhere — on-premises, in the cloud, or via managed services like Supabase, Neon, and RDS.

## Questions and answers
### Is PostgreSQL suitable for production use at large scale?
Absolutely. PostgreSQL powers production databases at companies like Apple, Instagram, Spotify, Reddit, and Twitch, handling billions of rows and thousands of concurrent connections. With proper tuning, connection pooling (e.g. PgBouncer), and replication, it scales to very large workloads.

### What is the latest stable version of PostgreSQL?
As of February 2026, the latest stable releases are PostgreSQL 18.3, 17.9, 16.13, 15.17, and 14.22 — all released on February 26, 2026 as part of an out-of-cycle update addressing several regressions.

### Can PostgreSQL be used for AI and vector search?
Yes. The pgvector extension adds native vector storage and similarity search to PostgreSQL, making it possible to build RAG pipelines, semantic search, and embedding-based recommendation systems without a separate vector database. This is the same technology powering Supabase's AI features.

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