PlanetScale vs Neon
Compare PlanetScale and Neon side by side. Features, pricing, pros and cons to help you choose the right database platform.
🏆 Quick Verdict
Both are serverless cloud databases with excellent developer experience, but PlanetScale uses MySQL and Neon uses PostgreSQL. SQL dialect preference is usually the deciding factor.
Overall Scores
PlanetScale
Neon
Feature Comparison
PlanetScale Advantages
- Similar feature set
Both Have
- = Database
- = Auto Backups
- = Database Branching
- = CLI Tool
- = TypeScript Support
Neon Advantages
- ✓ Vector Search
- ✓ Row-Level Security
Pricing Comparison
PlanetScale
Free starting
- free: Available
- scaler: $29/mo
- scalerPro: $59/mo
- enterprise: custom
Neon
Free starting
- free: Available
- launch: $19/mo
- scale: $69/mo
- enterprise: custom
Pros & Cons
Pros
- + Git-like database branching
- + MySQL-compatible (Vitess)
- + Zero-downtime schema changes
- + Excellent performance at scale
- + Non-blocking schema migrations
Cons
- − Database only, no auth/storage
- − No foreign keys (by design)
- − MySQL only (no Postgres)
Pros
- + True serverless Postgres
- + Database branching for dev/preview
- + Scales to zero (cost-effective)
- + Native pgvector support
- + Instant provisioning
Cons
- − Database only, no auth/storage
- − Newer platform
- − Cold starts possible
In-Depth Analysis
PlanetScale and Neon are two of the most developer-loved cloud databases, and their comparison is close. Both have serverless architectures that scale to zero, both have Git-like database branching, and both are designed for modern cloud-native applications. The most significant difference is the underlying database engine: MySQL (PlanetScale) vs PostgreSQL (Neon).
PlanetScale's branching workflow is more mature and central to its product identity. The ability to create a database branch for every pull request, run migration checks automatically, and deploy schema changes without downtime is PlanetScale's flagship feature. Teams doing frequent schema changes in CI/CD find this workflow valuable.
Neon's PostgreSQL foundation gives it access to the broader Postgres extension ecosystem. pgvector for AI embeddings, PostGIS for geospatial queries, and the vast ORM ecosystem (Prisma fully supports Postgres features). For teams building AI-powered features or using specialized Postgres extensions, Neon's Postgres base is more extensible.
Foreign key handling: PlanetScale famously doesn't enforce foreign key constraints at the database level (citing Vitess compatibility), leaving referential integrity to the application layer. This is a philosophical and practical difference — some teams find it freeing, others find it problematic. Neon's standard Postgres enforces FK constraints normally.
Who Should Choose What?
Choose PlanetScale if:
PlanetScale: MySQL-comfortable teams, projects needing mature database branching workflow, and MySQL ecosystem tooling
Choose Neon if:
Neon: PostgreSQL teams, projects using Postgres extensions like pgvector, and teams who want standard FK enforcement
Ready to Get Started?
Try both platforms free and see which one feels right.