PostgreSQL vs MySQL in 2026: An Honest Decision Guide
A practical comparison of PostgreSQL and MySQL covering JSONB, indexing, replication, licensing and real migration cost - plus which one to pick for your project.
PostgreSQL vs MySQL in 2026: An Honest Decision Guide
The PostgreSQL vs MySQL debate has quietly changed. Ten years ago the answer was "MySQL is faster, Postgres is stricter." In 2026 both are extremely capable, and the real decision is about what kind of data you have and what your team already knows.
This guide skips benchmarks you will never reproduce and focuses on the differences that actually reshape your codebase.
TL;DR
| Situation | Pick |
|---|---|
| Rich / nested data, JSON documents | PostgreSQL |
| Simple read-heavy web app | Either |
| Existing MySQL stack and tooling | MySQL |
| Geospatial at scale | PostgreSQL (PostGIS) |
| Analytics inside the database | PostgreSQL |
Where PostgreSQL clearly wins
JSONB done properly
PostgreSQL's JSONB is a real document store with indexing (GIN), containment operators and partial updates. If you have semi-structured payloads - webhooks, event data, per-tenant settings - Postgres lets you keep them relational *and* queryable.
MySQL has JSON too, but it lacks the same indexing depth. In practice teams end up either normalizing too early or exporting to another system.
Extensibility
Extensions change what the database *is*:
- PostGIS for geospatial work - still the default answer
- pg_trgm for fuzzy text search without adding search infrastructure
- TimescaleDB-style patterns for time-series data
- Logical replication with fine-grained publication control
- Case sensitivity: MySQL string comparison is case-insensitive by default in many collations; Postgres is case-sensitive. Teams migrating in either direction hit this repeatedly.
INSERT ... ON DUPLICATE KEY UPDATEvsON CONFLICT: Postgres is more expressive, but your ORM may abstract it away.- DDL transactions: Postgres lets you run migrations inside a transaction; this materially reduces "half-applied migration" incidents.
- Replication identity: Postgres logical replication requires a primary key for updates/deletes. Tables without PKs will stall your migration.
Analytical muscle
Window functions, CTEs, materialized views, and a mature query planner make Postgres the better choice when your "database" also needs to answer analytical questions.
Explore it: PostgreSQL on T2
Where MySQL still earns its place
Operational familiarity
Shared hosting, legacy control panels, and armies of existing tooling assume MySQL. If your deployment target offers one-click MySQL and nothing else, that constraint is real.
Read-heavy replication patterns
MySQL replication is simple, battle-tested and well understood by most ops teams. For classic "one primary, several read replicas" topologies it remains perfectly serviceable.
Ecosystem gravity
WordPress, some ORMs and many SaaS integrations still treat MySQL as the default. Fighting that default costs time.
The differences that bite later
These are the ones that show up after month six:
Migration notes nobody tells you
So which should you pick?
Pick PostgreSQL if you are starting fresh and the data is anything other than simple rows. extensibility buys you options you will use later.
Stay on MySQL if you already run it successfully, your schemas are simple, and migration would cost more than the benefits.
The wrong answer is agonizing over it. Both are excellent databases; shipping matters more.
Useful companions
Most real stacks pair a primary database with a cache layer - see Redis - and if you are running your own boxes, a VPS such as Linode keeps the monthly bill predictable.
*Browse database and backend tools in the T2 directory.*