Neon vs PlanetScale
Detailed side-by-side comparison to help you choose the right tool
Neon
🔴DeveloperAI Infrastructure
Serverless Postgres with branching, autoscaling, and a native pgvector layer used as a default RAG database for AI apps.
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FreePlanetScale
🔴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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FreeFeature Comparison
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Neon - Pros & Cons
Pros
- ✓Cheapest idle posture of any managed Postgres — pay only when queries run
- ✓Branching genuinely changes how teams work with preview environments
- ✓pgvector parity removes the need for a separate vector database in many RAG apps
- ✓Backed by Databricks since 2025, easing long-term viability concerns
Cons
- ✗Cold starts in the hundreds of milliseconds matter for latency-sensitive paths
- ✗Free tier is small enough that most teams must upgrade before serious testing
- ✗Roadmap uncertainty after the Databricks acquisition for top-tier plan pricing
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
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