PlanetScale
Serverless MySQL platform with branching, non-blocking schema changes, and horizontal scaling
Ventajas
- Git-like branching for databases
- Non-blocking schema changes
- Horizontal scaling
- Serverless scaling
- Developer experience
Desventajas
- MySQL only
- No foreign keys (by design)
- Can get expensive
- Less mature than RDS
Why Developers Love PlanetScale
PlanetScale treats databases like code. Branch, test schema changes, merge when ready. Database deployments without fear.
My Experience
The first time I branched a database like a Git repo, it clicked. Schema changes become PRs. No more 3am migration anxiety. PlanetScale changed how I think about database development.
What Makes PlanetScale Special
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Database Branching - Create branches of your database schema. Develop new features without touching production. Merge when ready, just like code.
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Non-Blocking Schema Changes - Deploy schema changes without locking tables. No downtime, no waiting for migrations. Production stays healthy during changes.
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Vitess Under the Hood - Built on Vitess, the same technology scaling YouTube. Horizontal sharding that works. Scale beyond single-node MySQL.
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Developer Experience - CLI, dashboard, integrations with deployment platforms. Deploy databases like you deploy code. The experience developers deserve.
Where PlanetScale Falls Short
No foreign key constraints—by design for horizontal scaling, but a tradeoff. MySQL only, no PostgreSQL option. Enterprise scale can get expensive.
Who Should Use PlanetScale
- Teams wanting safe schema changes
- Startups valuing developer experience
- Applications needing MySQL at scale
- Organizations with deployment anxiety
PlanetScale vs Traditional MySQL
| Factor | PlanetScale | AWS RDS |
|---|---|---|
| Branching | Yes | No |
| Schema Changes | Non-blocking | Blocking |
| Scaling | Horizontal | Vertical |
| DX | Modern | Traditional |
| Best For | Dev teams | Ops teams |
The Bottom Line
PlanetScale is the best choice for teams who want modern database workflows. The branching model transforms database development. If you need foreign keys or PostgreSQL, look elsewhere.
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