PostgreSQL vs MySQL: Which Database to Choose in 2026

PostgreSQL and MySQL are the two most widely used open-source relational databases. MySQL has been the default choice for web applications since the LAMP stack era. PostgreSQL has become the default for new projects by 2026, with significantly higher mindshare among developers using TypeScript, Python, and modern frameworks. Understanding the real differences helps you make the right choice for your specific use case.

Both are production-grade, actively maintained, and capable of handling high-traffic web applications. The differences are in SQL compliance, feature depth, JSON handling, full-text search, replication, and the hosting ecosystem. For most new projects, PostgreSQL is the correct default — but MySQL remains the better choice in specific contexts.

PostgreSQL is closer to the SQL standard than MySQL. PostgreSQL supports window functions (fully compliant), CTEs with recursion and data modification, lateral joins, full outer joins, and many standard SQL functions that MySQL handles differently or does not support. For complex analytical queries, PostgreSQL is the stronger choice.

MySQL prioritises performance and simplicity over SQL standards compliance. MySQL has historically had quirks: GROUP BY that does not require all non-aggregated columns to be in the group list, ONLY_FULL_GROUP_BY mode as an optional setting, and case-insensitive string comparisons by default. MySQL 8.0 and later have improved compliance significantly, but PostgreSQL still leads on standards adherence.

PostgreSQL JSONB is one of its most distinctive features. JSONB stores JSON in a decomposed binary format that supports GIN indexes for fast containment queries, the @> operator for JSON containment, jsonb_set for updating nested values, and a full suite of JSONB functions. JSONB columns are first-class query citizens: you can create indexes on JSONB keys and use JSONB values in WHERE clauses at native database speed.

MySQL JSON support was added in MySQL 5.7 and improved in 8.0. MySQL stores JSON as a binary document with some validation. Querying JSON fields uses JSON_EXTRACT or the -> operator. The functional index support for JSON in MySQL 8.0 narrows the gap, but PostgreSQL JSONB remains more powerful and better integrated into the query planner. If your application stores semi-structured data in JSON columns and queries it heavily, PostgreSQL is the stronger choice.

PostgreSQL has built-in full-text search using tsvector and tsquery types, GIN indexes, ts_rank for relevance scoring, and ts_headline for snippet generation. It supports multiple languages, custom dictionaries, and synonym files. For many applications, PostgreSQL full-text search is sufficient without adding Elasticsearch.

MySQL also has full-text search using FULLTEXT indexes on InnoDB tables and MATCH ... AGAINST syntax. MySQL full-text search is simpler and has fewer configuration options than PostgreSQL. For basic keyword search, MySQL full-text works fine. For more complex requirements (proximity search, custom relevance, multiple languages, fuzzy matching), PostgreSQL full-text or a dedicated search engine like Elasticsearch is stronger.

PostgreSQL uses MVCC (Multi-Version Concurrency Control) where readers never block writers and writers never block readers. This is efficient for mixed read-write workloads. PostgreSQL also has better query planner statistics and more sophisticated indexes (partial indexes, expression indexes, covering indexes) that enable better query optimisation.

MySQL InnoDB also uses MVCC. For read-heavy workloads with replication (primary-replica setup), MySQL has a long history of strong read performance with replica lag tuning. MySQL has traditionally been faster for simple primary key lookups and high-concurrency writes in specific benchmarks. In practice, for web application workloads, both databases perform similarly when properly tuned — the application query pattern and index design matter far more than the database engine.

Both databases are available on every major cloud provider: AWS RDS and Aurora, Google Cloud SQL, Azure Database. PostgreSQL-compatible managed databases have expanded significantly: Neon (serverless PostgreSQL), Supabase, PlanetScale Aurora-compatible, and CockroachDB are all PostgreSQL-wire-compatible. The serverless PostgreSQL ecosystem is richer.

MySQL has a long history as the default database for shared hosting and WordPress installations. PlanetScale (based on Vitess, MySQL-compatible) is the leading serverless MySQL option. For new applications deploying on Vercel, Cloudflare, or other modern platforms, PostgreSQL-compatible databases have more and better options.

Choose PostgreSQL for almost all new projects. It is more SQL-compliant, has better JSON handling, more powerful full-text search, richer index types, and a better serverless ecosystem. It is the default recommendation of frameworks like Django, Ruby on Rails, and Supabase. Most TypeScript ORMs (Prisma, Drizzle) have their best support for PostgreSQL.

Choose MySQL when you are extending an existing MySQL application, when your hosting requires MySQL (legacy shared hosting), when you are using WordPress or other PHP CMS tools that assume MySQL, or when you are using PlanetScale for its horizontal scaling capabilities. MySQL is also reasonable when your team has deep MySQL expertise and no compelling reason to switch.