Overview
PostgreSQL began in 1986 as the POSTGRES project at the University of California, Berkeley, and is developed by a global community under the PostgreSQL Licence, a liberal open-source licence similar to BSD or MIT[5][6]. The current major release is PostgreSQL 18, with point release 18.7 published on 12 November 2026 alongside updates to versions 14 to 17, and PostgreSQL 19 at release-candidate stage[5].
Its feature set is broad: JSON and JSONB, arrays, ranges, UUIDs and custom types; B-tree, GiST, GIN and BRIN indexes; multiversion concurrency control, partitioning, parallel query and JIT compilation; all SQL-standard isolation levels including Serializable; write-ahead logging with asynchronous, synchronous and logical replication and point-in-time recovery; and authentication via LDAP, SCRAM-SHA-256, certificates or OAuth 2.0 with row- and column-level security[5]. Extensions such as PostGIS and foreign data wrappers allow it to act as a platform rather than a single product[5]. Most cloud providers and many start-ups, including Supabase, Neon and Amazon Aurora, build services on PostgreSQL compatibility[22][23][11]. The main limitation is that operations, such as high availability and connection pooling, require third-party tools or a managed service.
What PostgreSQL does
- JSON/JSONB and rich data types
- GIN, GiST, BRIN and B-tree indexes
- Logical and synchronous replication
- Row- and column-level security
- Extensions including PostGIS
- Parallel query and JIT
PostgreSQL pricing
Free and open source under the PostgreSQL Licence.
PostgreSQL strengths and limitations
Strengths
- Free with permissive licence
- Highly extensible
- Strong standards compliance
- Huge ecosystem of managed services
Limitations
- High availability needs external tooling
- Tuning required at scale
- No single vendor support by default
- Write scaling requires sharding tools
Appears in
PostgreSQL alternatives and competitors
Alternatives to PostgreSQL: companies ranked in the same lists.
- Oracle
Microsoft Power BI- MySQL
MongoDB
Amazon Lex
Redis
IBM Consulting
MariaDB
SQLite
CockroachDB
Supabase
Neon
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