PostgreSQL
Open SourceAPIThe most advanced open source relational database
www.postgresql.orgLast updated: April 2026
PostgreSQL is the world's most advanced open source relational database, known for standards compliance, extensibility, and robust feature set.
About
PostgreSQL is the world's most advanced open source relational database management system, with a development history stretching back to 1986 at UC Berkeley and continuous community development ever since. Trusted by millions of developers and organizations worldwide, PostgreSQL is renowned for its reliability, standards compliance, robust feature set, and exceptional extensibility.
PostgreSQL's commitment to SQL standard compliance is unmatched among open source databases, supporting an impressive range of SQL features including complex joins, foreign keys, triggers, updatable views, transactional integrity, and multiversion concurrency control (MVCC). MVCC enables concurrent read and write operations without locking, delivering high throughput for mixed workloads without the read-write conflicts that plague lock-based concurrency models.
PostgreSQL's extensibility is one of its most distinctive characteristics. Users can define custom data types, custom functions in multiple procedural languages including PL/pgSQL, PL/Python, PL/Perl, and PL/JavaScript, custom operators, custom aggregate functions, and custom index types using GiST, GIN, BRIN, and other index access methods. This extensibility has enabled the creation of specialized PostgreSQL extensions including PostGIS for geospatial data, TimescaleDB for time-series data, pgvector for vector similarity search, and Citus for horizontal sharding.
PostgreSQL's JSONB data type provides efficient storage and indexing of semi-structured JSON data, allowing developers to use PostgreSQL as a document database alongside traditional relational data without sacrificing query performance. Full-text search, array types, hstore for key-value storage, and range types extend the set of data models that PostgreSQL can efficiently handle.
PostgreSQL's logical and physical replication capabilities enable high-availability configurations, read replicas, and change data capture (CDC) pipelines. Managed PostgreSQL services are available from all major cloud providers including Amazon RDS for PostgreSQL, Google Cloud SQL for PostgreSQL, Azure Database for PostgreSQL, and Supabase, making it accessible as a fully managed cloud database.
Positioning
PostgreSQL is the most advanced open source relational database, known for its reliability, feature richness, and standards compliance. It handles workloads ranging from single-machine applications to data warehouses and web services with many concurrent users.
Unlike MySQL, PostgreSQL supports advanced features like JSONB, full-text search, geospatial data, and extensibility through custom types and functions.
What You Get
- SQL Compliance
Full SQL standard support with advanced query capabilities - JSONB
Native JSON storage and querying for semi-structured data - Extensions
PostGIS, pgvector, TimescaleDB, and hundreds of extensions - Replication
Streaming replication, logical replication, and high availability - Performance
Advanced query planner, parallel queries, and partitioning
Core Areas
Relational Data
ACID-compliant transactional database for structured data
JSON & NoSQL
JSONB support for document-style storage within a relational database
Geospatial
PostGIS extension for location-based data and queries
Analytics
Window functions, CTEs, and materialized views for analytical workloads
Why It Matters
The database is the foundation of almost every application. PostgreSQL provides that foundation without licensing costs, vendor lock-in, or feature limitations. Its reliability and standards compliance make it a safe long-term choice.
The extension ecosystem means PostgreSQL can handle specialized workloads — time-series data, vector search, geospatial queries — without requiring separate databases for each use case.
Reviews
1 reviewPostgreSQL is our primary database for everything — transactional data, JSON documents, full-text search, and even vector embeddings with pgvector. The extension ecosystem is incredible. We have never hit a limitation that forced us to add another database.
— Emma T., Backend Developer
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