MySQL vs PostgreSQL: Which One Should You Choose?
Both are mature, fast and production-ready. The choice comes down to your data shape, your team and your hosting, not a benchmark. Here is where each one wins and how to decide.
MySQL and PostgreSQL are both mature, fast and battle-tested, and for a large share of applications either one is a fine choice. The decision comes down to the shape of your data, your operational context and, honestly, what your team already knows. This guide walks through where each one genuinely wins, what changes when you use one with Laravel, and how to pick for a new project.
MySQL vs PostgreSQL at a glance
| Aspect | MySQL | PostgreSQL |
|---|---|---|
| SQL conformance | Good, some quirks | Very strict, standard-compliant |
| JSON | JSON type, functional indexes on generated columns | JSONB, directly indexable with GIN |
| Rich types | Limited | Arrays, ranges, composite, enums, custom types |
| Full-text search | Built-in, adequate | Built-in, strong (tsvector, ranking) |
| Extensions | Few | Many (pgvector, PostGIS, pg_trgm, TimescaleDB) |
| Concurrency model | InnoDB MVCC | MVCC, transactional DDL |
| Replication at very large scale | Extremely well-trodden | Solid, slightly less ubiquitous tooling |
| Hosting availability | Everywhere, cheapest shared hosting | Everywhere on managed platforms, less on bargain shared hosting |
| Laravel support | First-class | First-class |
Where PostgreSQL wins
PostgreSQL is the better default when your data is not purely relational. JSONB columns are indexable and queryable, not just a text blob. The type system (arrays, ranges, enums, composite types) lets the database enforce more of your invariants. Extensions turn it into a search engine (full-text), a vector database (pgvector), or a geospatial engine (PostGIS) without adding a service. Recursive CTEs, window functions and transactional DDL (a failed migration rolls back cleanly) round it out.
Where MySQL wins
MySQL wins on operational simplicity and ubiquity. It is on every host, every managed platform, every tutorial, and the operational knowledge is everywhere. Its replication story is the most trodden path at very large read scale, which is why a lot of high-traffic consumer products run on it. For workloads that are mostly simple lookups and writes on a well-indexed schema, the difference in raw speed is not what limits you.
Performance in practice
Almost every real performance problem is a missing index, a bad schema or an N+1 query, not the engine. Both databases are fast when used well and slow when used badly. Before choosing one for speed, make sure the thing you are benchmarking is actually the bottleneck, and that the schema and indexes are the same on both sides.
Migrating from one to the other
- ✓Auto-increment: MySQL AUTO_INCREMENT becomes a PostgreSQL sequence (GENERATED AS IDENTITY); the behaviour around gaps and resets differs.
- ✓Identifier case: PostgreSQL folds unquoted identifiers to lowercase; MySQL is often case-insensitive on table names depending on the OS. Mixed-case column names bite here.
- ✓Types: MySQL TINYINT(1) as boolean, DATETIME vs TIMESTAMP WITH TIME ZONE, and the JSON functions all differ.
- ✓Full-text and JSON queries almost always need rewriting; they are the least portable part.
With Laravel
Set the driver in config/database.php (mysql or pgsql). The schema builder and Eloquent abstract most of the difference, so migrations and everyday queries look the same. Where it leaks: the jsonb column type and GIN indexes are PostgreSQL-only, whereFullText behaves differently per driver, and raw expressions are not portable. Pick the database before you write raw SQL, not after.
The verdict, by scenario
- ✓New project, no strong constraint: PostgreSQL. The richer types and extensions cost nothing and save you a service later.
- ✓Cheap shared hosting or a team that only knows MySQL: MySQL. Fighting your host or your team is not worth it.
- ✓Heavy JSON, search, geospatial or vector needs: PostgreSQL, clearly.
- ✓Very large, read-heavy consumer product with existing MySQL expertise: MySQL is a safe, well-supported path.
FAQ
- Is PostgreSQL faster than MySQL?
- Neither is universally faster. Both are fast on a well-indexed schema and slow on a bad one. PostgreSQL tends to handle complex queries, JSON and concurrent writes better; MySQL is very fast on simple lookups. In a real application the schema, the indexes and the query patterns decide performance, not the engine.
- Should I migrate from MySQL to PostgreSQL?
- Only for a concrete reason: you need indexable JSONB, strong full-text search, pgvector, geospatial types, or stricter SQL semantics. A migration is real work, mostly in rewriting JSON and full-text queries and adjusting the schema, so a working MySQL setup with no unmet need should stay.
- MySQL or PostgreSQL with Laravel?
- Both are first-class. Laravel abstracts the everyday difference. Choose PostgreSQL if you want jsonb, GIN indexes, pgvector or its richer types; choose MySQL if your hosting or your team pushes that way. Decide before writing any raw SQL, since raw expressions are not portable.
- Does PostgreSQL handle JSON better than MySQL?
- Yes. PostgreSQL JSONB is stored in a binary form that you can index directly with a GIN index and query efficiently. MySQL JSON is functional but you index it through generated columns rather than the JSON itself, which is more setup for less flexibility.
- Which should I choose for a new application in 2026?
- Default to PostgreSQL unless you have a reason not to. The richer type system and the extension ecosystem (search, vector, geospatial) mean fewer extra services down the line, and its SQL is closer to the standard. Choose MySQL when hosting constraints or existing team expertise make it the pragmatic call.
For a new project with no strong constraint, PostgreSQL is the better default: it does more out of the box and its SQL is more predictable. MySQL remains an excellent, safe choice where hosting or team knowledge points that way. Either one, used well, will not be what limits your application.
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