PlanetScale vs Supabase
Detailed side-by-side comparison to help you choose the right tool
PlanetScale
🔴DeveloperCloud & Hosting
Serverless MySQL database platform with database branching capabilities that enables development teams to manage schema changes like code. PlanetScale provides automatic scaling, horizontal sharding, and non-blocking schema changes, making it ideal for applications requiring high-performance MySQL with modern development workflows and zero-downtime deployments.
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FreeSupabase
🔴DeveloperCloud & Hosting
Open-source Firebase alternative built on PostgreSQL providing database, authentication, real-time subscriptions, edge functions, storage, and vector search — with auto-generated REST and GraphQL APIs.
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FreeFeature Comparison
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PlanetScale - Pros & Cons
Pros
- ✓Non-blocking schema migrations enable database changes without downtime or table locks
- ✓Database branching workflow treats schema changes like code with testing and merge capabilities
- ✓Built on Vitess technology proven at massive scale with automatic horizontal scaling
- ✓Exceptional query performance insights and optimization recommendations for MySQL workloads
- ✓Serverless scaling eliminates capacity planning while maintaining MySQL compatibility
Cons
- ✗Limited MySQL feature support due to distributed architecture constraints
- ✗Requires learning PlanetScale-specific workflows rather than standard MySQL administration
- ✗No direct server access - must work through PlanetScale's interface and tools
Supabase - Pros & Cons
Pros
- ✓Open-source architecture prevents vendor lock-in with genuine self-hosting support via Docker and comprehensive migration tooling
- ✓Full PostgreSQL foundation provides SQL power, ACID transactions, advanced indexing, and 30+ years of ecosystem maturity
- ✓Auto-generated REST and GraphQL APIs eliminate backend boilerplate and accelerate development with type-safe client libraries
- ✓pgvector extension makes Supabase a viable combined relational + vector database for AI applications
- ✓Generous free tier (500MB database, 50K MAUs, unlimited API requests) enables significant development without upfront costs
- ✓Comprehensive platform (database, auth, storage, functions, real-time) reduces the number of services to manage and integrate
Cons
- ✗PostgreSQL-only approach means no NoSQL flexibility — teams needing document stores or graph databases need additional infrastructure
- ✗Edge Functions use Deno runtime which has a smaller package ecosystem than Node.js serverless options like AWS Lambda or Vercel Functions
- ✗Real-time subscriptions and storage bandwidth can produce unexpected overage charges on the Pro plan without careful monitoring
- ✗Single-region deployment on Free and Pro tiers means higher latency for globally distributed users
- ✗Free tier's 2-project limit and 500MB storage cap are quickly outgrown during active development
- ✗Self-hosting complexity is significant — managing PostgreSQL, GoTrue, storage, and realtime services requires dedicated DevOps resources
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