Software comparison - Databases
PlanetScale vs PostgreSQL: 2026 Comparison
PlanetScale (MySQL) and PostgreSQL represent two paths: serverless simplicity versus self-managed power. PlanetScale excels at branch-based workflows and zero-ops scaling; PostgreSQL offers richer data types, JSON operators, and a mature ecosystem. Startups should pick based on team depth and tolerance for ops overhead.
Comparison dimensions
Features
PlanetScale: PlanetScale runs MySQL 8.0, missing PostgreSQL's advanced features (window functions, JSON operators, recursive CTEs). Trade-off is intentional: simplicity over flexibility.
PostgreSQL: PostgreSQL is the feature heavyweight. Window functions, CTEs, JSONB, full-text search, array operators—it's a developer playground. Steep learning curve justified by capability.
Pricing
PlanetScale: PlanetScale charges per database size and row reads. Free tier allows 5GB; $89/mo for first pay-as-you-go database. Cheap at small scale, but row reads can surprise you.
PostgreSQL: PostgreSQL is free (open-source). Cloud hosts like AWS RDS run $15-30/mo for basic instances. Total cost is lower, but you own the ops cost.
Ease of Use
PlanetScale: PlanetScale is the closest thing to zero-ops. Provision in 30 seconds, no connection pooling to configure, and branching for zero-downtime migrations.
PostgreSQL: PostgreSQL demands ops skill or a managed service. Docker works locally; cloud hosting is straightforward but you're responsible for backups, upgrades, and scaling.
Integrations
PlanetScale: PlanetScale integrations: Prisma, Drizzle, TypeORM. Ecosystem is JavaScript-heavy. Limited connectors outside web frameworks.
PostgreSQL: PostgreSQL integrates everywhere. Ruby on Rails, Django, Go, Java, Rust—every language has first-class support. Middleware is mature and reliable.
Support
PlanetScale: PlanetScale support is responsive Slack community and docs. Official support tiers exist; useful for urgent issues.
PostgreSQL: PostgreSQL support is community-driven (Slack, IRC, mailing lists) plus paid support from companies like EnterpriseDB. Community is massive and deep.
Scalability
PlanetScale: PlanetScale scaling is automatic and global with Vitess sharding under the hood. Designed for horizontal growth; works until you hit architectural limits.
PostgreSQL: PostgreSQL scaling is manual (read replicas, sharding) until you reach petabyte scale. Cloud hosts handle most of it, but decisions are yours. Proven at any scale.
Best for PlanetScale
- Teams that want serverless mysql platform
- Users prioritizing integrations
- Growth-stage teams
Best for PostgreSQL
- Teams that want open-source relational database
- Users prioritizing scalability
- Budget-conscious teams
Decision notes
PostgreSQL wins for teams with database experience and custom logic needs. PlanetScale wins for founders avoiding infrastructure entirely. Both are production-ready; pick one and commit for 6+ months before switching.
- Export/import support between PlanetScale and PostgreSQL
- Team onboarding and learning curve
- Pricing at your seat count
- Integration coverage for your stack
Frequently asked questions
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