MySQL/Vitess vs. serverless Postgres
PlanetScale and Neon are both modern, developer-friendly managed databases famous for database branching. But they sit on different engines, and that single fact drives most of the decision.
- PlanetScale is built on MySQL and Vitess (the horizontal-scaling system that powers very large MySQL deployments). It's about scalable MySQL with a great developer workflow.
- Neon is serverless PostgreSQL with separated storage/compute, scale-to-zero, and branching.
If you've already chosen MySQL or Postgres, that often settles the question. If you're greenfield, read on. (Disclosure: I build PandaStack, which offers its own managed databases; I'll keep this fair and sourced.)
Engine and ecosystem
Your ORM, extensions, and SQL features depend on the engine:
| Dimension | PlanetScale | Neon |
|---|---|---|
| Engine | MySQL (Vitess) | PostgreSQL |
| Horizontal scaling | Vitess sharding (proven at scale) | Vertical + serverless compute |
| Branching | Yes (schema-focused workflow) | Yes (instant data branches) |
| Scale-to-zero | Varies by plan | Yes (compute) |
| Foreign keys | Historically constrained (Vitess) | Full Postgres FKs |
| Extensions | MySQL ecosystem | Rich Postgres extensions (PostGIS, etc.) |
| Best for | Scalable MySQL apps | Postgres apps, dev branching |
Two concrete engine notes:
- PlanetScale/Vitess brings world-class horizontal scaling and online schema changes, but the Vitess model has historically placed constraints around things like foreign keys — check current capabilities, as this has evolved.
- Neon/Postgres gives you the full Postgres feature set and extension ecosystem (PostGIS,
pgvector, etc.), which matters for geospatial, vector search, and advanced SQL.
Branching workflows
Both pioneered database branching, but with different flavors:
- PlanetScale emphasizes a schema-change workflow: create a branch, make schema changes, open a "deploy request," and apply non-blocking online schema changes to production. It's git-like for *schema*.
- Neon emphasizes full data branching: instant copy-on-write copies of the whole database for previews, tests, or experiments.
If your pain is safe schema migrations at scale, PlanetScale's deploy-request flow is excellent. If your pain is spinning up realistic data per environment, Neon's data branching shines.
Scaling philosophy
PlanetScale's Vitess heritage means it's built to scale MySQL horizontally across shards — proven at very large scale. If you anticipate massive write throughput or huge datasets on MySQL, that pedigree matters.
Neon scales compute serverlessly (and to zero when idle), separating storage from compute. It's optimized for elastic, spiky, and dev/preview workloads, and for not paying for idle databases. For extreme horizontal scale, Vitess is the more battle-tested story; for elastic serverless economics, Neon leads.
Serverless and connections
Both tackle the serverless connection-limits problem. Neon offers pooling and a serverless driver for edge/serverless runtimes. PlanetScale offers connection management and database drivers (including HTTP-based access patterns suited to serverless). If you deploy on serverless/edge platforms, verify the driver/pooling support for your runtime — it's the difference between smooth and flaky.
Pricing
Check the live pages; both use usage-based models with free or entry tiers (note: offerings and free tiers at both have changed over time, so verify current terms):
- PlanetScale prices around database resources, storage, and reads/writes (row-based billing historically), oriented toward production MySQL.
- Neon prices around compute usage (scale-to-zero lowers idle cost), storage, and branching.
Guidance: Neon's scale-to-zero is friendly to many small/dev databases; PlanetScale targets production-grade MySQL where consistent throughput and scaling are the priority.
Where each shines
Choose PlanetScale if:
- You want MySQL and need proven horizontal scaling (Vitess).
- Safe, non-blocking online schema changes are a priority.
- You're building for large-scale MySQL workloads.
Choose Neon if:
- You want Postgres and its full feature/extension set.
- Serverless scale-to-zero economics and data branching matter.
- You favor elastic, spiky, or preview-heavy workloads.
A note on PandaStack (disclosure)
For transparency: PandaStack offers managed PostgreSQL (14.x, 16.x), MySQL (5.7, 8.x), MongoDB, and Redis via KubeBlocks, with scheduled + manual backups, and it hosts your app with the database auto-wired (DATABASE_URL). It's not a serverless-branching specialist — it's an all-in-one app host. If you want a standard managed Postgres or MySQL bundled with your app, it's a different but relevant option.
References
- [PlanetScale documentation](https://planetscale.com/docs)
- [Vitess documentation](https://vitess.io/docs/)
- [Neon documentation](https://neon.com/docs)
- [Neon pricing](https://neon.com/pricing)
- [pgvector extension](https://github.com/pgvector/pgvector)
---
If you'd like managed Postgres or MySQL bundled with hosted app and frontend, PandaStack's free tier includes a database. Try it at [dashboard.pandastack.io](https://dashboard.pandastack.io).