PostgreSQL vs MySQL: Which Database for Your Project? (2026)
PostgreSQL and MySQL are the two most popular open-source relational databases. Both are battle-tested, free, and capable of handling production workloads. The right choice depends on your specific use case.
Quick Comparison
| Feature | PostgreSQL | MySQL |
|---|---|---|
| Complex queries | Excellent (CTEs, window functions, lateral joins) | Good (improved significantly in MySQL 8+) |
| JSON support | Excellent (JSONB, indexable, operators) | Good (JSON type, limited indexing) |
| Full-text search | Built-in (tsvector, ranking) | Built-in (basic) |
| Geospatial (PostGIS) | Best-in-class | Basic (Spatial extension) |
| Read performance (simple queries) | Very fast | Very fast (slightly faster for simple reads) |
| Write performance | Fast (MVCC, better concurrency) | Fast (can be faster for simple inserts) |
| Replication | Streaming + logical replication | Binary log replication (mature, well-understood) |
| Extensions | Rich (PostGIS, pgvector, pg_cron, etc.) | Limited |
| Standards compliance | Strict SQL standard | Permissive (some non-standard behavior) |
| Default in frameworks | Django, Rails (default) | Laravel, WordPress, Drupal |
| Managed hosting cost | $15-$100+/mo (Supabase, Neon, RDS) | $10-$80+/mo (PlanetScale, RDS) |
When to Choose PostgreSQL
- Complex queries and analytics — CTEs, window functions, and advanced aggregations are first-class
- JSON/document storage — JSONB is faster and more feature-rich than MySQL's JSON
- Geospatial data — PostGIS is the industry standard for location-based queries
- AI/ML applications — pgvector enables vector similarity search alongside relational data
- Data integrity is critical — stricter type checking and constraint enforcement
- Using Django, Rails, or Next.js — these frameworks default to and are optimized for PostgreSQL
- Using Prisma ORM — PostgreSQL support is more complete than MySQL
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Get Free Proposal →When to Choose MySQL
- Simple CRUD applications — slightly easier setup and administration
- Read-heavy workloads — MySQL replication is mature and well-understood
- WordPress or PHP applications — MySQL is the default and has decades of optimization
- Team familiarity — if your team knows MySQL, switching costs outweigh marginal benefits
- Cost-sensitive — MySQL managed hosting is slightly cheaper at entry tiers
- Large legacy ecosystem — existing tools, backups, and processes built around MySQL
Performance Comparison
| Workload | PostgreSQL | MySQL | Winner |
|---|---|---|---|
| Simple SELECT by primary key | ~15,000 req/s | ~17,000 req/s | MySQL (slight) |
| Complex JOIN with aggregation | ~2,500 req/s | ~1,800 req/s | PostgreSQL |
| JSONB query with index | ~8,000 req/s | ~3,000 req/s | PostgreSQL |
| Bulk INSERT (10K rows) | ~45ms | ~40ms | MySQL (slight) |
| Concurrent writes (100 connections) | Good (MVCC) | Good (InnoDB) | Tie |
| Full-text search | Good | Basic | PostgreSQL |
For most web applications, performance differences are negligible. The database is rarely the bottleneck — query optimization and indexing matter more than the engine choice.
Managed Hosting Options (2026)
| Provider | Database | Free Tier | Starting Price | Best For |
|---|---|---|---|---|
| Supabase | PostgreSQL | 500MB | $25/mo | Full-stack with auth, storage, real-time |
| Neon | PostgreSQL | 512MB | $19/mo | Serverless PostgreSQL, branching |
| AWS RDS | Both | 750 hrs/mo (free tier) | ~$15/mo | Production workloads |
| PlanetScale | MySQL | 5GB | $39/mo | Serverless MySQL, branching |
| Railway | Both | $5 credit | Usage-based | Quick deployments |
| DigitalOcean | Both | None | $15/mo | Simple managed hosting |
Decision Framework
| Your Project | Choose | Why |
|---|---|---|
| SaaS application (new) | PostgreSQL | Better JSON, extensions, Prisma support |
| WordPress / PHP site | MySQL | Native support, optimized ecosystem |
| AI/ML with vector search | PostgreSQL | pgvector extension |
| E-commerce (Shopify-like) | PostgreSQL | Complex queries, JSONB for product attributes |
| Simple CRUD internal tool | Either | Use what your team knows |
| Location-based app | PostgreSQL | PostGIS is unmatched |
| Migrating existing MySQL app | Stay on MySQL | Migration cost rarely justified |
Frequently Asked Questions
Is PostgreSQL better than MySQL?
PostgreSQL has more advanced features (JSONB, CTEs, extensions, PostGIS), stricter SQL compliance, and better support in modern frameworks. MySQL is simpler to administer and has a larger installed base. For new projects, PostgreSQL is the better default. For existing MySQL projects, migration is rarely worth the cost.
Which is faster, PostgreSQL or MySQL?
For simple queries, MySQL is marginally faster. For complex queries (joins, aggregations, JSON), PostgreSQL is faster. In practice, proper indexing and query optimization matter 10x more than database engine choice.
Can I switch from MySQL to PostgreSQL?
Yes, but it requires effort. Schema migration is straightforward, but query differences (date handling, string functions, JSON syntax) require code changes. Budget 1-4 weeks for a small-to-medium application migration.
Which database is cheaper?
At entry tiers, MySQL hosting is slightly cheaper ($10-15/mo vs $15-25/mo for PostgreSQL). At scale, costs are similar. The biggest cost difference is developer time — use the database your team knows.
Which is better for AI applications?
PostgreSQL, because of pgvector (vector similarity search) and better JSON support for storing AI model outputs. You can store embeddings, do similarity search, and query relational data all in one database.
Should I use PostgreSQL or MongoDB?
PostgreSQL with JSONB handles document-style storage while keeping relational capabilities. Use MongoDB only when you have a genuinely schema-less use case with no relational data. For 90%+ of applications, PostgreSQL does both relational and document storage well.
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