side-by-side comparison — 2026
PlanetScale vs Supabase
An independent, no-affiliate comparison of PlanetScale and Supabase in 2026 — covering pricing, features, developer experience, and which one to choose for your project.
2026 recommendation
Supabase wins for most teams
Best all-in-one backend for new projects in 2026
PlanetScale is better when: Established companies with existing MySQL workloads that need schema branching, safe migrations, or horizontal scaling
PlanetScale
★★★★★Serverless MySQL with Git-style schema branching and zero-downtime migrations.
Overall rating
Pricing
No free tier. Scaler plan starts at $39/month per database.
Best for: Established companies with existing MySQL workloads that need schema branching, safe migrations, or …
Not for: New projects, side projects, startups watching costs, or any team running Postgr…
recommended for most teams
Supabase
★★★★★Postgres with auth, storage, realtime, and an auto-generated API — all open source.
Overall rating
Pricing
Free tier with 500MB database and 2GB storage. Pro starts at $25/month.
Best for: New projects that want a full-featured backend without managing five separate services — especially …
Not for: Projects that need maximum database performance tuning, enterprise compliance fr…
What each tool does well
PlanetScale strengths
- +Schema branching is a genuinely superior migration workflow
- +Zero-downtime deployments with instant rollback capability
- +Built on Vitess — proven at YouTube-scale traffic
- +Horizontal scaling without application-level sharding logic
Supabase strengths
- +Real Postgres — every ORM, migration tool, and SQL client works
- +Auto-generated REST and GraphQL APIs from your schema
- +Row Level Security enables secure direct database access from the frontend
- +Auth, storage, realtime, and edge functions all included
- +Open source and self-hostable — no permanent vendor lock-in
- +pgvector support makes it excellent for AI-powered apps
Known weaknesses
PlanetScale cons
- −No free tier since early 2024 — minimum $39/month
- −MySQL only — not suitable for Postgres teams
- −Foreign key constraints not enforced at the database level
- −Branching workflow adds overhead for simple schema changes
Supabase cons
- −Free projects pause after 1 week of inactivity
- −Edge Functions are less mature than AWS Lambda for complex use cases
- −Migration tooling is less mature than raw Postgres setups with Flyway or Liquibase
Pricing comparison
| Feature | PlanetScale | Supabase |
|---|---|---|
| Free tier | No | Yes |
| Starting price | $39/month | Free |
| Pricing model | paid | freemium |
| Overall rating | 3/5 | 5/5 |
| Category | database | database |
In-depth overview
PlanetScale
Best for MySQL teams that need safe schema migrations at scale
PlanetScale's core innovation is treating database schema changes with the same workflow as code changes. Every database has branches. You create a feature branch, make schema changes, open a deploy request analogous to a pull request, and when approved, PlanetScale migrates production with zero downtime and instant rollback capability.
This addresses a genuine pain point: ALTER TABLE migrations that lock tables, cause downtime, or are nearly impossible to safely revert. PlanetScale eliminates all three by replicating the schema change in the background before switching over.
The underlying database is MySQL on Vitess — the horizontally scalable sharding layer that originally powered YouTube and now handles hundreds of thousands of queries per second for PlanetScale's customers. Vitess enables horizontal scaling without requiring you to understand sharding — you write standard MySQL queries and PlanetScale handles distribution transparently.
Read the full PlanetScale review →Supabase
Best all-in-one backend for new projects in 2026
Supabase made a bet in 2020 that the market was tired of proprietary NoSQL databases and Firebase lock-in. That bet paid off. In 2026 it is one of the fastest-growing developer tools companies in the world, and the go-to backend for new projects that want comprehensive infrastructure without stitching together a dozen services.
The foundation is just Postgres. There is no proprietary query language, no special SDK required. You can use any Postgres-compatible ORM — Drizzle, Prisma, SQLAlchemy, ActiveRecord — and standard pg clients. Real Postgres means pgvector for embeddings, pg_cron for scheduled tasks, and every ecosystem extension works.
On top of Postgres, Supabase auto-generates a REST API from your schema using PostgREST. Every table gets CRUD endpoints automatically. Row Level Security policies written in SQL control what each authenticated user can read and write — no custom authorization middleware required. The JavaScript SDK handles these policies transparently, enabling your frontend to query the database directly without a bespoke API layer for most use cases.
Read the full Supabase review →When to choose each
Choose PlanetScale if
Established companies with existing MySQL workloads that need schema branching, safe migrations, or horizontal scaling
Avoid PlanetScale if
New projects, side projects, startups watching costs, or any team running Postgres
Choose Supabase if
New projects that want a full-featured backend without managing five separate services — especially apps that need auth, file storage, and realtime built in from day one
Avoid Supabase if
Projects that need maximum database performance tuning, enterprise compliance from day one, or teams already deeply invested in a different database provider
Production tips
PlanetScale tips
- 1.PlanetScale deploy requests work best when linked to corresponding GitHub PRs
- 2.Use safe migrations mode to prevent breaking changes from landing in production without review
Supabase tips
- 1.Use Drizzle ORM with Supabase for type-safe queries that still allow raw SQL when needed
- 2.Enable pgvector for storing and querying AI embeddings directly in your database
- 3.Supabase CLI `supabase db diff` generates migration files automatically from schema changes
Who uses each
PlanetScale is used by
Information not available
Supabase is used by
Last updated January 2026 · No affiliate links · Data from official documentation and independent benchmarks