DBaaS / Serverless Databases
Neon (acquired by Databricks) and PlanetScale diverge first on pricing model: Neon (acquired by Databricks) uses usage pricing with a free tier, PlanetScale uses hybrid pricing with no free tier. Everything else flows from that commercial choice. Neon (acquired by Databricks) is built for apps, global and is not a fit for simple, offline projects. PlanetScale is built for apps, global and is not a fit for simple, offline projects. On the scoring side, Neon (acquired by Databricks) rates 5/5 for developer experience and 4/5 for transparency; PlanetScale rates 5/5 and 4/5 respectively. The honest trade-off: with Neon (acquired by Databricks) you accept that simple key-value storage needs, while PlanetScale comes with the reality that simple key-value storage needs. Neither side is free. Neon (acquired by Databricks)'s headline strength in the data is that apps needing managed database. PlanetScale's headline strength is that apps needing managed database. Read each side's best-for and not-for fields carefully before you pick; the shape of your team and workflow matters more than any single score.
Quick take
Neon (acquired by Databricks) is for apps, global; PlanetScale is for apps, global; decide based on pricing model.
| | | |
|---|---|---|
| Category | DBaaS / Serverless Databases | DBaaS / Serverless Databases |
| Pricing Model | usage | hybrid |
| Entry Price | $5/mo minimum (Launch) | $5/mo (single node) |
| Free Tier | Yes | No |
| Billing Complexity | low | medium |
| Developer Experience | 5/5 | 5/5 |
| Pricing Transparency | 4/5 | 4/5 |
| Lock-in Level | low | low |
| Migration Complexity | low | low |
| Data Portability | SQL export | SQL export |
| Enterprise | Available | Available |
| GitHub Stars | — | — |
| License | — | — |
Low — standard PostgreSQL, Postgres ORM
Migration difficulty: low
Data you keep: SQL export
API standard: PostgreSQL
Risk notes: Low — standard PostgreSQL, Postgres ORM
💡 Standard protocols make switching straightforward
Low-Medium — standard MySQL (Vitess), but branching = proprietary feature
Migration difficulty: low
Data you keep: SQL export
API standard: MySQL-compatible
Risk notes: Low-Medium — standard MySQL (Vitess), but branching = proprietary feature
💡 Standard protocols make switching straightforward
Choose Neon (acquired by Databricks) if you are apps, global and a usage pricing model fits how you buy.
Not for: Simple, Offline projects
Choose PlanetScale if you are apps, global and a hybrid pricing model fits how you buy.
Not for: Simple, Offline projects
Check each tool's dedicated page for deeper reviews, setup notes, and pros/cons.
Neon (acquired by Databricks) uses a usage model, while PlanetScale uses a hybrid model; Neon (acquired by Databricks) has a free tier and PlanetScale does not. We don't have per-seat numbers in this dataset, so 'cheaper' depends on volume. Price both on your actual usage before deciding.
Neon (acquired by Databricks) has low lock-in (low — standard postgresql, postgres orm); PlanetScale has low lock-in (low-medium — standard mysql (vitess), but branching = proprietary feature). Migration effort scales with how much state and automation you've built in Neon (acquired by Databricks); plan for data export, config rebuild, and a parallel-run period before cutting over.
Both Neon (acquired by Databricks) and PlanetScale score 5/5 on developer experience in our data, so DX isn't the tiebreaker here. Decide on fit, pricing, or lock-in instead.
PlanetScale is built for apps, global and explicitly not for simple, offline projects, so it's a fit only if your workflow matches its stated audience. If you were using Neon (acquired by Databricks) for apps, global, the switch is reasonable; outside that scope, look elsewhere.
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