MySQL vs PostgreSQL: Choosing a Database in 2026

Both are mature, fast, open-source relational databases that run some of the biggest sites in the world. For most applications either will work; the differences show up at the edges.

Where PostgreSQL leads

• Richer SQL and types: arrays, ranges, JSONB with powerful indexing, custom types, more complete standards support.
• Extensions: pgvector, PostGIS, pg_trgm, TimescaleDB and many more.
• Transactional DDL: a failed migration rolls back completely.
• Advanced indexing: partial, expression, GIN, GiST, BRIN.
• Momentum: many newer developer platforms and AI tooling are built around Postgres.

Where MySQL leads

• Simplicity and familiarity: huge installed base, especially with PHP/WordPress/Laravel stacks.
• Read-heavy web workloads: simple primary-key lookups are very fast, and replication is easy to set up.
• Proven scale-out tooling: Vitess (used by large sites) and mature online schema change tools like gh-ost.
• Connection handling: threads instead of processes make many connections cheaper (though pooling is still wise).

Operational differences

• PostgreSQL needs attention to VACUUM on heavily updated tables; MySQL's InnoDB handles old row versions differently (undo logs).
• Both are available as managed services on every major cloud, which removes most day-to-day operations work.

How to decide

• Team already expert in one? Use it; expertise beats small feature differences.
• Need geospatial, vector search, complex queries or rich data types? PostgreSQL.
• Existing MySQL ecosystem or planning a Vitess-style sharded architecture? MySQL.
• Starting fresh with no strong preference? PostgreSQL is the most common default today.

Keep your SQL reasonably portable and use a migration tool either way. Switching later is possible but rarely cheap.