The database decision that affects everything downstream
Choose PostgreSQL. In 2026, there is almost no reason to choose MySQL for a new project. PostgreSQL handles everything MySQL does plus JSON documents, full-text search, vector embeddings for AI, geospatial queries, and time-series data. It is the Swiss Army knife of databases. The only exception: if you are on a legacy system already running MySQL, migration cost may not be justified.
| PostgreSQL | MySQL | |
|---|---|---|
| JSON Support | Excellent (JSONB, indexable) | Basic (JSON type, limited indexing) |
| Full-Text Search | Built-in (tsvector) | Built-in (FULLTEXT index) |
| Extensions | Rich (pgvector, PostGIS, TimescaleDB) | Limited |
| Concurrency | MVCC (excellent under load) | Good (InnoDB) |
| Standards Compliance | Highly SQL-compliant | Some non-standard behavior |
| Hosting Options | AWS RDS, Supabase, Neon, Railway | AWS RDS, PlanetScale, Vitess |
| AI/Vector Search | pgvector (built-in) | Requires external service |
| Default in Rails | Yes (recommended) | Supported |
For complex queries with joins and aggregations, PostgreSQL is generally faster. For simple read-heavy workloads, MySQL can be marginally faster. For most real-world applications, the difference is negligible.
For most use cases, yes. PostgreSQL JSONB columns give you document-store flexibility with the reliability of a relational database. You get the best of both worlds without running two databases.
Yes. The pgvector extension enables vector similarity search directly in PostgreSQL — no need for Pinecone or Weaviate. This is a massive advantage for building AI features in 2026.
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