PlanetScale vs Neon
A detailed comparison of features, privacy, and developer experience.
Last reviewed: 2026-05-17
Executive Summary
PlanetScale is the MySQL-on-Vitess platform with branching and non-locking schema changes. Neon is the serverless Postgres platform with cheap copy-on-write branches and scale-to-zero compute.
PlanetScale
ExternalPlanetScale is a managed MySQL platform built on Vitess, with branching workflows, deploy requests, and online schema changes that don't lock production tables.
Visit PlanetScaleNeon
ExternalNeon is a serverless Postgres platform with branching, scale-to-zero compute, and copy-on-write storage. Branches are cheap and behave like Git branches for your database.
Visit NeonEditor's Verdict
Both reinvented the developer experience around "branch a database the way you branch code," but on different stacks. PlanetScale's superpower is online schema changes, you can add an index on a billion-row table without locking it. Neon's superpower is serverless economics, branches cost almost nothing and idle compute scales to zero. Pick by the database your team already uses (MySQL vs Postgres) and by which superpower matters more for your workload. After PlanetScale's free-tier removal, Neon has become the default for small projects on cost grounds.
🪐When to use PlanetScale
- Production MySQL workloads at scale
- Teams that need online schema changes without locking
- Apps that benefit from Vitess sharding
🌐When to use Neon
- Postgres workloads with bursty or intermittent traffic
- Preview environments where each PR gets its own DB branch
- Cost-sensitive projects that benefit from scale-to-zero
| Feature | PlanetScale | Neon |
|---|---|---|
| Database engine | MySQL on Vitess | Postgres |
| Branching | Yes (deploy requests) | Yes (copy-on-write) |
| Online schema changes | Industry-leading | Standard Postgres tooling |
| Scale-to-zero | ||
| Read replicas | Yes (multi-region) | Yes |
| Connection pooling | Built-in | PgBouncer built-in |
| Pricing model | Plan tiers | Usage + compute |
| Free tier (2026) | Removed | Generous |
| Best for | MySQL apps at scale | Postgres apps with bursty traffic |
Key Takeaways
- PlanetScale: MySQL on Vitess with branching and non-locking schema changes, battle-tested at huge scale.
- Neon: serverless Postgres with auto-scaling, instant branching, and pay-per-query, the closest thing to 'AWS Aurora Serverless' done right.
- PlanetScale's killer feature is non-blocking schema changes via deploy requests; Neon's is true serverless cold-start.
- Pick MySQL (PlanetScale) or Postgres (Neon) first, that's the bigger decision than the vendor.
- PlanetScale dropped its Hobby (free) tier in 2024, entry pricing is higher than Neon's free plan.
Common Mistakes
- Choosing PlanetScale and using FOREIGN KEYs heavily, Vitess has restrictions on cross-shard FKs.
- Treating Neon's auto-scaling as 'infinite', it has limits; spiky workloads can hit them.
- Migrating between them mid-project, MySQL ↔ Postgres requires data-type rework that's underestimated.
- Ignoring connection pooling, both work best with PgBouncer / Vitess pool; raw connections at scale will fail.
Frequently Asked Questions
Can I migrate from Heroku Postgres to Neon?+
Yes, Neon has dedicated migration tooling. The wire protocol is standard Postgres so most ORMs need no changes.
Why use database branching?+
It lets each PR have its own production-shaped database without copying data, making preview environments and destructive migration testing safe.
Does PlanetScale still have a free tier?+
No, the free Hobby tier was removed in 2024. The lowest plan is paid.
What about Supabase Postgres?+
Supabase ships managed Postgres as part of a BaaS bundle (auth, storage, etc.). Neon is a pure database service with serverless-shaped pricing.
How we tested this
We evaluated both PlanetScale and Neon in real developer workflows to build this comparison. Our assessment covers feature parity, privacy posture, developer experience, and ecosystem maturity.
Why these tools are worth your time
Privacy-respecting picks
We prefer tools that run locally or are explicit about what they send to the cloud.
Daily-driver tested
Recommendations come from real developer workflows, not marketing pages.
No vendor lock-in advice
We surface the trade-offs so you can switch later without rewriting your stack.