MySQL vs PostgreSQL in 2026: which to pick
Both are mature, free, and fast enough that for most apps the database is not your bottleneck. A lot of the old comparison points are dead: MySQL 8 has window functions, CTEs and a real JSON type; PostgreSQL has had solid replication for years. So this is about the differences that still matter in 2026, not the ones from a 2014 blog post.
The short answer
For a new project where you have a free choice, default to PostgreSQL. It is stricter by default, its type system saves you bugs, and the ecosystem momentum (extensions, managed hosts, ORMs, AI/vector tooling) is clearly behind it. Pick MySQL when you have a concrete reason: an existing MySQL fleet and ops muscle, a host that only offers MySQL, or a read-heavy workload your team already knows how to tune. Neither choice is a mistake — but the burden of proof has shifted to MySQL.
Where PostgreSQL genuinely pulls ahead
- Richer, stricter types. Native
boolean, arrays,uuid,inet, ranges, and a first-classjsonbthat you can index with GIN. MySQL silently coerces; PostgreSQL refuses bad data (no0000-00-00dates, no truncating overflow), so corruption surfaces at write time instead of in a report six months later. - Transactional DDL.
ALTER TABLE,CREATE INDEXand the like run inside a transaction and roll back cleanly if a migration fails halfway. MySQL auto-commits most DDL, so a failed migration can leave you half-applied. - Extensions. PostGIS for geospatial,
pgvectorfor embeddings and semantic search,pg_trgmfor fuzzy text,citextfor case-insensitive columns. This is the single biggest practical gap, and it widened with the AI workloads of the last two years. - Concurrency model. Its MVCC implementation handles mixed read/write contention and complex analytical queries gracefully, which is why it is the default for data-heavy apps.
Where MySQL still wins
- Ubiquity. Every shared host, every cPanel, every one-click installer assumes MySQL (or MariaDB). If you are shipping a WordPress site or a PHP app to budget hosting, MySQL is the path of least resistance.
- Simple read-heavy workloads. For straightforward key-lookup and read-mostly traffic, MySQL with InnoDB is extremely fast and its replication is battle-tested at huge scale (it is what runs much of the largest social and e-commerce infrastructure on earth).
- Operational familiarity. If your team already runs MySQL, knows its backup and failover tools, and has the dashboards built, that institutional knowledge has real value — don't throw it away for a checklist of features you may not use.
- Lighter footprint for tiny apps. A small MySQL instance is simple to stand up, and connection handling is cheaper out of the box (PostgreSQL often wants a pooler like PgBouncer once connection counts climb).
Myths that no longer decide it
- "MySQL is faster." Workload-dependent and usually a wash in 2026; both win specific benchmarks. Tune for your queries, not for a logo.
- "PostgreSQL can't replicate." Streaming and logical replication have been production-grade for years.
- "MySQL has no window functions / CTEs / JSON." It has, since 8.0.
How to decide in two minutes
- Building on shared/budget hosting, or shipping WordPress? → MySQL.
- Need geospatial, full-text, or vector/AI search? → PostgreSQL.
- Team already deep on one engine and happy? → stay put.
- Greenfield app, free choice, want the safest long-term default? → PostgreSQL.
Already on MySQL and the list above has you leaning PostgreSQL? The schema and data move is the
tedious part — dialect differences in types, AUTO_INCREMENT, quoting and dates.
Moving across? Convert your MySQL database to PostgreSQL now →