PostgreSQL vs MySQL
Two mature open-source relational databases. Postgres is richer (types, constraints, query power, extensibility); MySQL is lighter, ubiquitous, and very fast for simple read-heavy web workloads. Both are single-primary and need sharding at scale.
| Dimension | PostgreSQL | MySQL |
|---|---|---|
| Query & type richness | JSONB, arrays, ranges, partial/expression indexes, PostGIS, rich constraints. | Solid SQL, JSON support, but fewer advanced types and constraints. |
| Storage model | Heap + separate indexes; secondary indexes store row pointers. | Clustered (index-organized) tables; secondary indexes store primary keys. |
| Concurrency | MVCC with snapshot isolation; readers never block writers. | InnoDB MVCC; clustered index means secondary lookups cost two seeks. |
| Ecosystem & hosting | Strong, broad; managed options (RDS, Aurora, Neon). | Huge, ubiquitous; managed options (RDS, Aurora) mature. |
| Best fit | Complex queries, correctness, mixed relational/JSON. | Simple read-heavy web OLTP, broad tooling. |
Query & type richness
- PostgreSQL
- JSONB, arrays, ranges, partial/expression indexes, PostGIS, rich constraints.
- MySQL
- Solid SQL, JSON support, but fewer advanced types and constraints.
Storage model
- PostgreSQL
- Heap + separate indexes; secondary indexes store row pointers.
- MySQL
- Clustered (index-organized) tables; secondary indexes store primary keys.
Concurrency
Ecosystem & hosting
- PostgreSQL
- Strong, broad; managed options (RDS, Aurora, Neon).
- MySQL
- Huge, ubiquitous; managed options (RDS, Aurora) mature.
Best fit
- PostgreSQL
- Complex queries, correctness, mixed relational/JSON.
- MySQL
- Simple read-heavy web OLTP, broad tooling.
When PostgreSQL wins
- You need advanced types, constraints, or query complexity (JSONB, GIS, CTEs).
- Correctness and strict semantics matter more than raw read speed.
Verdict
Choose Postgres for richness and correctness; MySQL for simplicity, ubiquity, and read-heavy web defaults. Both need deliberate sharding to scale writes.