MySQL vs PostgreSQL
A side-by-side technical matrix of MySQL (Databases & Cache) and PostgreSQL (Databases & Cache) — summaries, strengths and structural trade-offs, symmetrically laid out.
MySQL
MySQL is the world's most widely deployed open-source relational database, prized for speed and simplicity. It anchors the classic LAMP stack and most shared hosting.
Pros
- Ubiquitous. Runs on virtually every host and cloud with mature tooling. 0
- Fast reads. Well-tuned read paths make it excellent for read-heavy web apps. 0
- Easy to operate. Simple replication and a shallow learning curve. 0
- Proven at scale. Powers Facebook, YouTube, and countless web platforms. 0
Cons
- Weaker SQL. Fewer advanced features than PostgreSQL for complex queries. 0
- Oracle stewardship. Ownership concerns pushed many teams toward MariaDB. 0
- Historical quirks. Silent data truncation and loose typing bite the unwary. 0
- Limited extensions. No rich extension ecosystem like Postgres offers. 0
PostgreSQL
PostgreSQL is a fully open-source relational database known for standards compliance, extensibility, and rock-solid transactional integrity. Extensions add JSON, geospatial, full-text, and vector search to the core engine.
Pros
- Battle-tested ACID. Decades of production use with strict transactional correctness. 0
- Powerful extensions. PostGIS, pgvector, and full-text search live inside the database. 0
- Rich SQL support. Window functions, CTEs, and JSON operators handle complex queries. 0
- Truly free. Permissive license with no owning vendor or paid tiers. 0
- Managed everywhere. Every major cloud offers a hosted PostgreSQL service. 0
Cons
- Vertical-first scaling. Write scaling beyond one primary requires manual sharding. 0
- Connection cost. Each connection is a process, so serverless apps need pooling. 0
- Vacuum maintenance. Autovacuum needs tuning on write-heavy tables to avoid bloat. 0
- Replication complexity. Failover and high availability demand external tooling. 0