Your database choice is one of the most consequential architectural decisions you will make. It affects performance, scalability, developer experience, and operational overhead for years to come.
The contenders
PostgreSQL
PostgreSQL remains the default choice for modern SaaS applications, and for good reason. Its feature set is unmatched among open source databases:
- Full ACID compliance with excellent concurrency handling
- Rich data types including JSON, arrays, and full-text search
- Mature ecosystem of extensions (PostGIS, pgvector, TimescaleDB)
- Strong community and commercial support options
MySQL
MySQL still powers a massive portion of the internet. Its strengths include:
- Battle-tested reliability at scale
- Excellent read performance with proper indexing
- Wide hosting availability and tooling support
- Familiar to most backend developers
Managed services
Platforms like Supabase, PlanetScale, and Neon abstract away operational complexity:
- No server management or patching
- Built-in connection pooling and scaling
- Often include additional features like auth, storage, and edge functions
- Predictable pricing (usually)
Decision framework
When choosing a database for your SaaS, consider these factors in order of importance:
- Data model complexity — If you need complex queries, joins, and constraints, PostgreSQL is hard to beat.
- Scale requirements — If you need horizontal scaling from day one, consider a managed service built for it.
- Team expertise — Use what your team knows. Migration costs are real.
- Operational capacity — If you do not have a DBA, managed services pay for themselves quickly.
Our recommendation
For most SaaS applications starting in 2026, we recommend PostgreSQL on a managed platform like Supabase or Neon. You get the full power of Postgres without the operational burden, and you can always migrate to self-hosted if your needs change.