PostgreSQL vs MySQL: Which Relational Database in 2026?

Pros

• PostgreSQL 17 adds 2x faster JSON_TABLE() queries and improved logical replication failover
• JSONB binary storage enables sub-10ms indexed JSON lookups on millions of documents
• Full SQL:2023 compliance — CTEs, window functions, lateral joins, materialized views
• PostGIS extension makes it the industry standard for geospatial/GIS workloads
• MVCC architecture allows concurrent reads and writes without table-level locking

Cons

• Higher RAM baseline: PostgreSQL recommends 4GB+ RAM vs MySQL's comfortable 1GB floor
• More configuration complexity — shared_buffers, work_mem, wal_buffers need tuning
• Replication setup (Patroni/pg_auto_failover) is more complex than MySQL Group Replication
• Smaller default connection pool — pgBouncer or Pgpool-II required at 500+ concurrent connections

Pros

• MySQL 8.4 LTS (2024) provides 5-year security support — ideal for stable production systems
• InnoDB engine delivers 100K+ read QPS on commodity hardware with proper indexing
• Group Replication and InnoDB Cluster provide built-in HA with automatic failover
• HeatWave Analytics engine on OCI enables 400x faster analytics queries without ETL
• Largest ecosystem: Laravel, Django, Rails, WordPress, Drupal all ship MySQL-first

Cons

• JSON support lacks JSONB binary indexing — JSON queries are slower than PostgreSQL JSONB
• No support for window function aggregates like FILTER, limiting advanced analytics
• Oracle ownership raises licensing concerns; community edition has no commercial SLA
• Default ONLY_FULL_GROUP_BY mode breaks many legacy SQL queries without migration work