Who should choose PostgreSQL?

Teams that want open-source relational database

Who should choose MySQL?

Teams that want open-source relational database

Software comparison - Databases

PostgreSQL vs MySQL: 2026 Comparison

PostgreSQL and MySQL are the most widely deployed open-source databases, each with decades of battle-testing. PostgreSQL excels at complex queries, rich data types, and advanced features. MySQL prioritizes simplicity, replication, and horizontal scale. [tools](/tools) can help you test both against your workload.

Comparison dimensions

Dimension	PostgreSQL	MySQL	Winner
Features	9/10PostgreSQL supports CTEs, window functions, JSON operators, arrays, and composable types natively. ACID guarantees are rock-solid. Procedural languages (PL/pgSQL) let you push logic into the database. Ideal for complex analytics and transactional systems.	9/10MySQL has caught up with JSON, window functions, and CTEs, but the feature breadth is narrower. Strength is read-heavy, denormalized schemas where simplicity matters. Recent versions (8.0+) competitive with PostgreSQL on features.	Tie
Pricing	9/10PostgreSQL is free and open-source. Hosting costs scale with storage and compute; no per-table license fees. Managed services (RDS, Supabase, Render) keep operational load low. Total cost of ownership favors PostgreSQL at scale.	8/10MySQL is also free, with lower memory footprint on comparable hardware. InnoDB storage engine is mature. Managed MySQL services (AWS RDS, PlanetScale) are cheaper per GB than PostgreSQL equivalents, but pricing models vary.	PostgreSQL
Ease of Use	9/10PostgreSQL's learning curve is steeper if you leverage advanced features. SQL dialect is strict, error messages are detailed. Once mastered, the consistency and predictability pay dividends. Migrations can be tedious.	8/10MySQL is famously forgiving. Schema migrations are faster. Simple deployments don't require deep tuning. The flip side: easy to paint yourself into a corner with poor schema design or careless replication topology.	PostgreSQL
Integrations	7/10PostgreSQL's ecosystem is growing: PostGIS for geospatial, TimescaleDB for time-series, Citus for distributed queries, and PL/Python for data science. ORMs (SQLAlchemy, Django ORM, Sequelize) have first-class PostgreSQL support.	7/10MySQL has a larger installed base and broader HostGator/WordPress-level tooling. ORMs support MySQL, but many modern frameworks (Django, Rails) make PostgreSQL the preferred default. Ecosystem is rich but less innovative.	Tie
Support	8/10PostgreSQL's open-source community moves slowly, which is both a feature and a limitation. Major version releases every year. Paid support from EDB and others. Security patches are timely. Adoption in enterprise is rising.	9/10MySQL's open source is stewarded by Oracle, which can feel corporate and distant. Community fragmentation (MariaDB fork) adds confusion. Managed services from major clouds have strong SLAs. For startups, community support is solid.	MySQL
Scalability	9/10PostgreSQL with Patroni, Kubernetes, or managed cloud services scales elegantly. Read replicas, logical replication, and Citus sharding are all first-class. Handles 100k+ TPS easily. Cost per transaction drops at scale.	7/10MySQL replication is proven, mature, and widely deployed. Sharding is manual but documented. Cloud-native options like PlanetScale offer MySQL with automatic sharding. Proven at Uber, Shopify scale, though requires more operational care than PostgreSQL.	PostgreSQL

Features

PostgreSQL: PostgreSQL supports CTEs, window functions, JSON operators, arrays, and composable types natively. ACID guarantees are rock-solid. Procedural languages (PL/pgSQL) let you push logic into the database. Ideal for complex analytics and transactional systems.

MySQL: MySQL has caught up with JSON, window functions, and CTEs, but the feature breadth is narrower. Strength is read-heavy, denormalized schemas where simplicity matters. Recent versions (8.0+) competitive with PostgreSQL on features.

Pricing

PostgreSQL: PostgreSQL is free and open-source. Hosting costs scale with storage and compute; no per-table license fees. Managed services (RDS, Supabase, Render) keep operational load low. Total cost of ownership favors PostgreSQL at scale.

MySQL: MySQL is also free, with lower memory footprint on comparable hardware. InnoDB storage engine is mature. Managed MySQL services (AWS RDS, PlanetScale) are cheaper per GB than PostgreSQL equivalents, but pricing models vary.

Ease of Use

PostgreSQL: PostgreSQL's learning curve is steeper if you leverage advanced features. SQL dialect is strict, error messages are detailed. Once mastered, the consistency and predictability pay dividends. Migrations can be tedious.

MySQL: MySQL is famously forgiving. Schema migrations are faster. Simple deployments don't require deep tuning. The flip side: easy to paint yourself into a corner with poor schema design or careless replication topology.

Integrations

PostgreSQL: PostgreSQL's ecosystem is growing: PostGIS for geospatial, TimescaleDB for time-series, Citus for distributed queries, and PL/Python for data science. ORMs (SQLAlchemy, Django ORM, Sequelize) have first-class PostgreSQL support.

MySQL: MySQL has a larger installed base and broader HostGator/WordPress-level tooling. ORMs support MySQL, but many modern frameworks (Django, Rails) make PostgreSQL the preferred default. Ecosystem is rich but less innovative.

Support

PostgreSQL: PostgreSQL's open-source community moves slowly, which is both a feature and a limitation. Major version releases every year. Paid support from EDB and others. Security patches are timely. Adoption in enterprise is rising.

MySQL: MySQL's open source is stewarded by Oracle, which can feel corporate and distant. Community fragmentation (MariaDB fork) adds confusion. Managed services from major clouds have strong SLAs. For startups, community support is solid.

Scalability

PostgreSQL: PostgreSQL with Patroni, Kubernetes, or managed cloud services scales elegantly. Read replicas, logical replication, and Citus sharding are all first-class. Handles 100k+ TPS easily. Cost per transaction drops at scale.

MySQL: MySQL replication is proven, mature, and widely deployed. Sharding is manual but documented. Cloud-native options like PlanetScale offer MySQL with automatic sharding. Proven at Uber, Shopify scale, though requires more operational care than PostgreSQL.

Best for PostgreSQL

Teams that want open-source relational database
Users prioritizing scalability
Budget-conscious teams

Best for MySQL

Teams that want open-source relational database
Users prioritizing scalability
Budget-conscious teams

Decision notes

Choose PostgreSQL if you build complex systems, need sophisticated querying, or prioritize long-term flexibility. Choose MySQL if you're building simple CRUD systems, want operational simplicity, or need the lowest possible ops overhead. Most teams start MySQL and migrate to PostgreSQL as complexity grows; few regret the move. Test both on a representative dataset: query patterns, replication latency, and cost matter more than feature checklists.

Export/import support between PostgreSQL and MySQL
Team onboarding and learning curve
Pricing at your seat count
Integration coverage for your stack

Frequently asked questions

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