MySQL vs PostgreSQL - Which Should You Use?
Comparing MySQL and PostgreSQL for your next project. Honest analysis of performance, ecosystem, and suitability for Australian businesses.
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Quick Comparison
Side-by-side comparison to help you decide.
| Criterion | MySQL | PostgreSQL |
|---|---|---|
| SQL standards compliance | Partial - some non-standard extensions; GROUP BY less strict | More compliant - standard SQL behaviour is a design goal |
| JSON support | JSON type in MySQL 5.7+; functional indexes on JSON expressions | JSONB - binary JSON with full indexing; more powerful than MySQL JSON |
| Advanced data types | Standard types plus spatial (MySQL Spatial) | Arrays, ranges, hstore, JSONB, UUID, PostGIS - vastly richer type system |
| Replication | Binary log replication - simple to configure; MySQL Cluster for HA | Streaming replication, logical replication, Patroni for HA - more complex but flexible |
| Full-text search | MATCH...AGAINST full-text search - basic but functional | tsvector/tsquery with GIN indexes - more powerful; pgvector for embeddings |
| Managed hosting options | PlanetScale (serverless MySQL), RDS MySQL, Cloud SQL - good options | Supabase, Neon (serverless), RDS Postgres, PGEdge - excellent options |
Our Verdict
Choose PostgreSQL for any new project. MySQL is a capable, battle-tested database, but PostgreSQL consistently offers a richer feature set: superior JSONB support, arrays, ranges, window functions, CTEs, and an extensibility system (pgvector, PostGIS, pg_cron) that makes it the most versatile open-source relational database available. The managed PostgreSQL hosting market (Supabase, Neon, RDS) is excellent. MySQL remains the pragmatic choice if you have an existing MySQL codebase, are locked to PlanetScale's serverless model, or are working with a CMS like WordPress that mandates MySQL.
Choose MySQL when:
- ✓ You have an existing MySQL codebase that migration would not be cost-justified
- ✓ Using PlanetScale's serverless branching model for schema change workflows
- ✓ WordPress, Drupal, or other MySQL-mandated CMS is the application layer
Choose PostgreSQL when:
- ✓ Any new greenfield project with a free database choice
- ✓ Using JSONB, arrays, or advanced types that MySQL handles poorly
- ✓ Adding pgvector for vector similarity search alongside relational data
- ✓ Using Supabase or Neon for managed PostgreSQL with real-time and auth features
Frequently Asked Questions
Absolutely. You get 3 months of hands-on support after launch. For ongoing development, we offer flexible retainer packages tailored to your needs.
Every project is scoped individually based on complexity, integrations, and feature requirements. Most projects fall within our standard tiers. Book a free assessment to get a transparent, fixed-price quote.
Most projects deliver a working prototype in 2 weeks and complete within 4-8 weeks. Complex applications may take longer. We deliver in phases so you see value quickly.
Yes, our team has experience with both MySQL and PostgreSQL. We choose the right tool based on your project needs and recommend accordingly during our free assessment.
Yes. We integrate with 150+ business tools and can build custom connectors for specialist software. Your new application will work seamlessly with your existing tech stack.
We primarily build with Next.js, React, TypeScript, and Node.js. We also work with Python, PostgreSQL, and various cloud platforms. We choose the best technology for your specific requirements.
It depends on your project requirements. MySQL and PostgreSQL each have strengths. Our detailed comparison above covers the trade-offs to help you decide.
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