MySQL vs PostgreSQL - Which RDBMS to Choose in 2026?

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Technical comparison of the two dominant open-source RDBMS: MySQL and PostgreSQL. Performance, ecosystem, data types, use cases and recap table.

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MySQL and PostgreSQL have dominated the open-source relational database market for twenty years. Together, they account for more than 70% of databases deployed in the web and SaaS ecosystem in 2026. Their popularity is such that many developers choose out of habit, often MySQL because WordPress and Laravel use it by default, or PostgreSQL because Django and Rails push toward it. This default choice is sometimes suboptimal depending on the project.

The MySQL vs PostgreSQL choice isn't about "which is better in absolute terms", both are mature, performant, reliable and actively developed. The real differences lie in: data type richness (PostgreSQL clearly wins), operational simplicity (MySQL often wins), read/write performance (depending on load), ecosystem (tools, ORMs, hosting) and team culture. This guide gives you the objective elements to decide based on your case.

MySQL: how it works and its ecosystem

MySQL was created in 1995 by MySQL AB, acquired by Sun in 2008 and then Oracle in 2010. It's today the most deployed open-source RDBMS in the world, largely thanks to the LAMP stack (Linux/Apache/MySQL/PHP) that fueled the web explosion. WordPress, Drupal, Joomla, Magento and Laravel use MySQL by default. Its version 8.0 (and 8.4 LTS released in 2024) brings significant improvements: window functions, JSON_TABLE, recursive CTEs, and a redesigned InnoDB engine.

  • Storage engine: InnoDB by default (ACID transactional, row-level locking). MyISAM still exists for very specific uses but doesn't support transactions.
  • Strengths: extremely simple to administer, abundant ecosystem (phpMyAdmin, MySQL Workbench), very mature master-replica replication, excellent raw read performance.
  • Weaknesses: less rich than PostgreSQL on data types (no native arrays, no basic geometric types), slightly less sophisticated optimizer, more permissive transaction handling.
  • Hosting: available by default on 100% of shared and VPS offerings on the market.

PostgreSQL: strengths and differentiation

PostgreSQL (often abbreviated "Postgres") has existed since 1986 (as the academic POSTGRES project at Berkeley) and became open-source under a permissive license in 1996. Its development is driven by a decentralized community, no company controls it. In 2026, PostgreSQL has become the "default" database of modern SaaS applications, Django/Rails/Node.js projects, and data-intensive products (analytics, ML, geospatial).

  • Rich data types: native JSON/JSONB with GIN indexing, arrays, intervals, UUID, geometric types (PostGIS), custom types.
  • Strengths: extremely strict on ACID and referential integrity, very sophisticated query optimizer, support for advanced features (recursive CTEs, window functions, native full-text search, partial indexes), extensibility (extensions: PostGIS, pg_trgm, TimescaleDB, pgvector for AI).
  • Weaknesses: slightly steeper learning curve, denser configuration (postgresql.conf has ~300 parameters), historically more complex replication (big recent progress).
  • Hosting: available on all modern VPS. On shared hosting, less systematic than MySQL, check beforehand.

Functional comparison table

Head-to-head comparison on the criteria that matter in 2026:

When to choose MySQL?

  • WordPress, WooCommerce, Drupal, Magento: MySQL is the default choice, optimized ecosystem.
  • Laravel + Eloquent: Laravel works perfectly with PostgreSQL, but the Laravel community remains mostly on MySQL.
  • Very simple read-intensive loads: massive primary-key lookups (caching, sessions).
  • Team with little DB experience: MySQL forgives more, administration is simpler.
  • Shared hosting: MySQL is universally available, PostgreSQL sometimes absent.

When to choose PostgreSQL?

  • Modern SaaS application: Django, Rails, Next.js + Prisma, FastAPI, the ecosystem pushes toward Postgres.
  • Semi-structured data (JSON): PostgreSQL with JSONB and GIN indexing beats MySQL on complex JSON queries.
  • Geospatial: PostGIS is the world reference, with no equivalent on MySQL.
  • Light analytics, reporting: more mature query optimizer and window functions.
  • Strong integrity required: finance, healthcare, audit, Postgres is strict on ACID.
  • Vector search / AI: pgvector extension to store embeddings and do semantic searches.

And MariaDB in all this?

MariaDB is a MySQL fork created in 2009 by MySQL's original developers, following the Oracle acquisition. MariaDB and MySQL remain largely compatible (same drivers, near-identical SQL syntax), but have diverged on some points: MariaDB adds specialized engines (ColumnStore for analytics, Spider for sharding), different JSON functions, and slightly stricter default behavior. On French shared hosting (OVH, o2switch, Infomaniak), MariaDB is often installed by default in place of MySQL, this doesn't change anything to your application code in 95% of cases.

MySQL vs PostgreSQL - Functional comparison

Criterion MySQL PostgreSQL
License GPL (Oracle) PostgreSQL License (permissive, BSD-style)
ACID Yes (InnoDB) Yes, strict by default
JSON / JSONB Native JSON, indexing possible JSONB + GIN, market reference
Full-text search InnoDB FULLTEXT (acceptable) Tsvector + GIN indexing (very complete)
Replication Very mature master-replica, simple Streaming + logical replication (powerful)
Read performance Excellent, especially simple lookups Excellent, more sophisticated optimizer
Write performance Very good (InnoDB row-lock) Very good, efficient MVCC
Extensibility Limited (engine plugins) Extensions (PostGIS, pgvector, TimescaleDB)
Typical use case WordPress, Magento, Laravel, sessions SaaS, Django/Rails, geo, analytics, AI
Community Huge, Oracle-backed Huge, community-driven and independent

Frequently asked questions

It depends on the load. On massive simple lookups (sessions, cache), MySQL/InnoDB is very efficient. On complex queries (multi-joins, aggregations, window functions), PostgreSQL often beats MySQL thanks to its more sophisticated optimizer. The difference is rarely dramatic below a few million records.

Officially, no. WordPress only supports MySQL/MariaDB natively. Unofficial projects exist (HyperDB, port plugins) but are barely maintained. For WordPress, stick with MySQL or MariaDB.

For a modern SaaS with a Django/Rails/Next.js/FastAPI stack, PostgreSQL is very widely recommended by the community: type richness, JSONB for semi-structured schemas, excellent managed ecosystem (Neon, Supabase, RDS, By-Hoster VPS).

Yes for most projects. MariaDB is 100% compatible with MySQL for standard WordPress/Laravel/Symfony application code. It adds a few extra features (specialized engines, JSON, security). Many hosts have replaced MySQL with MariaDB without customers noticing.

Three steps: 1) Export the schema with mysqldump --no-data then adapt types (TINYINT, ENUM, etc.). 2) Migrate the data via pgloader which automates much of it. 3) Adapt the application code: database-specific SQL syntax (LIMIT vs LIMIT/OFFSET, AUTOINCREMENT vs SERIAL, date functions). Count 1 to 5 days depending on size.

Slightly, yes. PostgreSQL uses a process per connection (more expensive than MySQL threads), which pushes toward using a connection pool like PgBouncer. In practice, on a 2 GB VPS, both run comfortably with some tuning of shared_buffers (Postgres) or innodb_buffer_pool_size (MySQL).

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