Neon vs PlanetScale: Head-to-Head Comparison
Quick Verdict
Choose Neon if your stack relies on modern PostgreSQL features, extensions like pgvector, and native scale-to-zero autoscaling. Opt for PlanetScale if you run high-throughput MySQL workloads and need advanced Vitess-powered horizontal sharding with zero-downtime schema migrations.
At a Glance
| Feature | Neon | PlanetScale |
|---|---|---|
| Best For | Developers building Postgres-native apps, AI workloads needing vector search, and Jamstack/edge environments | High-concurrency web applications, massive-scale MySQL setups, and enterprise teams requiring non-blocking schema workflows |
| Pricing | Usage-based with a generous free tier (compute hours and storage consumption) | Tiered monthly subscriptions starting at $39/month plus usage-based overages (no free tier) |
| Link | Try Neon | Try PlanetScale |
Detailed Breakdown
Neon
Serverless open-source alternative to AWS Aurora Postgres
Pros:
- Separates compute and storage with true scale-to-zero capabilities
- Full support for native PostgreSQL extensions including pgvector and PostGIS
- Instant copy-on-write database branching for development and staging preview environments
Cons:
- Cold starts can introduce latency when waking instances from zero compute
- Less proven for massive multi-terabyte horizontal sharding compared to Vitess
PlanetScale
Scalable serverless MySQL platform powered by Vitess
Pros:
- Exceptional horizontal scalability and automated sharding via underlying Vitess engine
- Industry-leading non-blocking schema migrations and deployment requests
- Ultra-low latency connection pooling capable of handling millions of concurrent connections
Cons:
- Eliminated their free tier, raising the barrier to entry for hobbyists and side projects
- Lacks native support for foreign key constraints, requiring application-level enforcement
Key Differences
- Database Engine: Neon provides fully managed standard PostgreSQL, whereas PlanetScale is built on MySQL using Vitess.
- Data Constraints: Neon retains traditional relational integrity like foreign keys, while PlanetScale disallows foreign key constraints to ensure horizontal scaling performance.
- Scaling Architecture: Neon focuses on vertical auto-scaling compute and rapid scale-to-zero, whereas PlanetScale excels at horizontal sharding for extreme throughput.
- Pricing Structure: Neon retains a functional free tier with pay-as-you-go micro-billing, while PlanetScale charges a baseline platform fee starting at $39 per month.
Frequently Asked Questions
Can I use foreign keys in PlanetScale like I do in Neon?
No. PlanetScale restricts native foreign key constraints to maintain sharding scalability, requiring relational integrity to be managed at the application or ORM level. Neon retains complete native PostgreSQL foreign key support.
Which database is better suited for AI and vector embeddings?
Neon is better suited for AI workloads because it natively supports the pgvector extension alongside other PostgreSQL utilities, allowing you to store and query embeddings directly.
How do database branching workflows differ between Neon and PlanetScale?
Neon creates instant copy-on-write branches containing both schema and data with zero storage overhead. PlanetScale branches isolate schema changes to enable pull-request-style migrations, but development branches typically do not duplicate production data by default.