Last updated: April 11, 2026
MySQL vs PostgreSQL — Which Database Should You Use in 2026?
Quick Answer
PostgreSQL is the stronger database for most new projects in 2026 — it has superior JSON support, more advanced query planner, better full-text search, and supports pgvector for AI workloads. MySQL is faster for simple read-heavy workloads and has simpler replication for sharded architectures. Both are battle-tested at massive scale.
MySQL vs PostgreSQL — Side by Side
| Feature | MySQL | PostgreSQL |
|---|---|---|
| ACID compliance | Yes (InnoDB) | Yes (native) |
| JSON support | JSON column type, basic operators | JSONB — indexed, full operator set, superior |
| Full-text search | Built-in, basic | More powerful — tsvector, ranking, dictionaries |
| Read performance | Excellent — often faster for simple reads | Excellent — better for complex queries |
| Extensions | Limited | Extensive — PostGIS, pgvector, TimescaleDB |
| Window functions | Yes (MySQL 8+) | Yes — more complete implementation |
| Managed cloud | RDS, Aurora, PlanetScale | RDS, Aurora, Supabase, Neon, Render |
| License | GPL / commercial (Oracle) | PostgreSQL License (permissive, BSD-like) |
| Default port | 3306 | 5432 |
| AI/vector workloads | Limited (no native vector type) | pgvector — native vector similarity search |
Verdict
For new projects in 2026, PostgreSQL is the default recommendation — its richer type system, superior JSON handling, and pgvector extension for AI workloads give it a clear edge. MySQL remains solid for teams who already know it, high-volume simple CRUD apps, or when using PlanetScale for horizontal scaling.
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