PlanetScale vs Neon: Serverless SQL Database
PlanetScale is serverless MySQL built on Vitess with database branching; Neon is serverless Postgres with branching, separated storage/compute, and scale-to-zero.
PlanetScale offers MySQL-compatible, Vitess-powered horizontal scaling with non-blocking schema changes and Git-like database branching. Neon offers serverless Postgres with separated storage and compute, instant branching, and scale-to-zero, attractive for Postgres-first teams and dev/preview workflows. The first split is the engine - MySQL vs Postgres - then their branching and scaling models.
| PlanetScale | Neon | |
|---|---|---|
| Engine | MySQL (Vitess) | Postgres |
| Branching | Yes (schema-safe) | Yes (instant) |
| Scaling | Horizontal (Vitess) | Storage/compute split |
| Scale to zero | No | Yes |
| Best for | MySQL at scale, schema safety | Postgres, dev branching |
Use case and engine
PlanetScale suits MySQL teams wanting Vitess horizontal scale and safe, non-blocking schema changes via branching. Neon suits Postgres teams wanting serverless economics, scale-to-zero, and instant branches for previews and tests. The engine choice (MySQL vs Postgres) is usually decisive; both bring modern branching workflows.
In CI
Both support ephemeral database branches per pull request, so integration tests run against an isolated copy. Either fits managed runners, where faster runners shorten migration and test steps against the branch.
The verdict
On MySQL wanting Vitess scale and safe schema branching: PlanetScale. On Postgres wanting serverless scale-to-zero and instant branches: Neon. The engine you need (MySQL vs Postgres) usually decides; both modernize the dev/test database workflow with branching.