Neon vs PlanetScale
A side-by-side comparison from 70 GitHub-verified developers who shipped production code on both platforms.
Neon wins on Postgres and serverless scale-to-zero economics; PlanetScale wins on MySQL ecosystem and zero-downtime schema changes. The split is by SQL flavor preference and migration-safety priorities.
Benchmark Comparison
| Metric | Neon | PlanetScale |
|---|---|---|
| SQL flavor | Postgres | MySQL (Vitess) |
| Branching | Native (git-like) | Native (git-like) |
| Schema-change safety (deploy requests) | Manual | First-class |
| Scale-to-zero | Yes | No |
| Free tier | Yes (0.5GB) | Removed in 2024 |
| Foreign-key constraints | Yes | No (Vitess) |
| Horizontal scale | Read replicas | Vitess sharding |
| Pricing entry | $19/mo | $39/mo |
Operational Verdicts
Foreign keys, full SQL, pgvector, and the Postgres ecosystem. Neon delivers the standard Postgres experience without ops. For teams choosing SQL flavor today, Postgres has won; Neon is the natural choice.
PlanetScale's deploy requests catch schema-change disasters before prod. Branching for migrations is genuinely safer than running them directly. For teams shipping schema changes weekly, PlanetScale's migration safety is the moat.
Neon's scale-to-zero means idle preview-environment databases cost almost nothing. Branch a DB per PR, let it sleep when no one's touching it. Saves real money on busy CI/CD.
Reviewer Voices
"Branch databases changed our preview-environment economics."
"Postgres without provisioning."
"The schema-change story is the moat."
"Vitess scale without the Vitess ops cost."