Neon vs PlanetScale
Detailed side-by-side comparison to help you choose the right tool
Neon
🔴DeveloperCloud & Hosting
Serverless PostgreSQL with instant branching, autoscaling from zero, and usage-based pricing for modern applications.
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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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Starting Price
FreeFeature Comparison
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Neon - Pros & Cons
Pros
- ✓Scale-to-zero billing means idle databases cost nothing, unlike fixed-cost alternatives like RDS
- ✓Database branching enables true Git-like workflows with instant, isolated environments per PR
- ✓Full PostgreSQL compatibility including pgvector, PostGIS, and TimescaleDB extensions
- ✓Free tier is genuinely useful with 100 projects, 100 CU-hrs/month, and no credit card required
- ✓Built-in connection pooling handles up to 10,000 concurrent connections on all plans
- ✓Neon Auth eliminates the need for a separate authentication service for many applications
Cons
- ✗Cold starts of 500-2000ms make Neon unsuitable for applications requiring consistently sub-100ms database latency
- ✗Scale tier pricing is significantly more expensive per CU-hr than Launch, creating a steep cost jump
- ✗Usage-based pricing can be unpredictable for workloads with variable query patterns and no spending caps
- ✗0.5GB storage per project on Free tier is restrictive for anything beyond basic prototyping
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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