Postgres vs MySQL in 2026: Which Database Should You Choose?

This comparison gets written every year. In 2026, with Postgres 17 and MySQL 9.x, here's where the line actually falls.

Where Postgres Clearly Wins

JSON/JSONB

Postgres JSONB is indexed, queryable, and has a rich operator set:

SELECT * FROM users WHERE preferences @> '{"theme": "dark"}';
CREATE INDEX idx_user_prefs ON users USING gin(preferences);

Full-Text Search

Postgres ships a capable built-in FTS engine, enough to skip Elasticsearch for most apps:

SELECT * FROM articles
WHERE to_tsvector('english', title || ' ' || body)
    @@ plainto_tsquery('english', 'server components');

Advanced Data Types

Arrays, ranges, and composite types mean fewer application-layer workarounds:

ALTER TABLE articles ADD COLUMN tags text[];
SELECT * FROM articles WHERE 'typescript' = ANY(tags);

Extension Ecosystem

pgvector for AI similarity search, PostGIS for geospatial, timescaledb for time-series. MySQL has no equivalent ecosystem.

Where MySQL Holds Its Ground

Replication maturity: 20 years of battle-tested primary-replica tooling (Percona, ProxySQL).

Managed cost: AWS Aurora MySQL and Cloud SQL MySQL are cheaper than Postgres equivalents at scale.

Read routing. ProxySQL and Vitess for sophisticated read/write splitting are more mature on MySQL.

Team expertise: if your team knows MySQL deeply, that knowledge is operationally valuable.

The Decision Guide

Either works fine for: standard CRUD APIs, relational data with foreign keys, most startups under 10M rows per table.

My Default

For new projects with no specific constraints: Postgres. More expressive, unmatched extension ecosystem, and Supabase/Neon make it as easy to operate as any database has ever been.

But I'd never tell a team to migrate away from a well-functioning MySQL setup. The grass isn't that much greener.

If You're Actually Migrating

Moving an existing MySQL database to Postgres is a bigger project than the syntax differences suggest. The two biggest sources of pain aren't the schema, they're the parts of your application that quietly depend on database-specific behavior.

Auto-increment columns need to become SERIAL or GENERATED ALWAYS AS IDENTITY, and MySQL's implicit type coercion (comparing a string column to an integer without erroring) has no equivalent in Postgres, which will throw instead. If your codebase has queries that rely on that leniency, they'll fail loudly after migration, which is arguably a feature, but budget time to find them. Tools like pgloader handle the bulk data transfer and most type mapping automatically, but always run it against a staging copy first and diff row counts and checksums before pointing production traffic at the new database.