Turso vs PlanetScale: Edge SQLite vs Serverless MySQL

Turso puts SQLite at the edge, close to your users. PlanetScale puts MySQL behind a sophisticated branching system. Different problems, different tools.

The Architecture Difference

Turso runs libSQL (a SQLite fork) at the network edge. Each database can have replicas in 35+ regions, and reads route to the nearest replica automatically. Writes go to the primary location. This means a user in Tokyo gets sub-10ms read latency if you have a replica there.

PlanetScale runs MySQL with Vitess in centralized data centers. It's fast within a region but doesn't do edge distribution natively. You can use their 'AWS regions' option to choose a closer primary, but there's no automatic multi-region read replication on standard plans.

This architectural difference defines when each tool makes sense.

Turso's Free Tier Is Generous

Turso free: 500 databases, 9GB total storage, 1 billion row reads/month. For a side project or small production app, this is significant.

Turso Scaler: $29/month for more databases and storage. The per-database cost is very low.

PlanetScale removed its free tier. Cheapest plan: $39/month. If you're comparing free/cheap options for a new project, Turso wins immediately.

The multiple-databases aspect of Turso's pricing model (500 free databases) enables a multi-tenant architecture where each tenant gets their own isolated SQLite database — a pattern that's becoming popular for certain SaaS architectures.

SQLite at the Edge: Gotchas

SQLite wasn't designed for concurrent write-heavy workloads. Turso mitigates this with libSQL's server mode, but if your application does heavy concurrent writes, you'll hit limitations that a proper OLTP database like MySQL or Postgres handles better.

The libSQL driver ecosystem is smaller than Postgres or MySQL. Some ORMs (Drizzle supports it well, Prisma added support) but not all tools are compatible.

For complex queries with many joins, heavy aggregations, or sophisticated analytics, SQLite/libSQL is not the right tool. It's designed for read-heavy, relatively simple data access patterns.

PlanetScale's Real Strengths

PlanetScale's deploy request workflow is genuinely excellent. It's the only database provider that treats schema migrations with the same care as code reviews. You get a visual diff of schema changes, impact analysis, and a review process before anything hits production.

For teams that have experienced production database migration failures (and most experienced teams have), PlanetScale's workflow is worth paying for.

At scale: Vitess's horizontal sharding is proven at Google-scale. If you're running a MySQL workload with 100M+ rows that needs to grow further, PlanetScale's sharding capability is the right answer and there's no alternative in the serverless category.

Quick Comparison

Factor	Turso	PlanetScale
Free Tier	500 databases, 9GB, 1B reads/month	None
Entry Price	$29/month	$39/month
Edge/Multi-region Reads	Yes — 35+ regions	Single region default
Database Engine	SQLite (libSQL fork)	MySQL + Vitess
Concurrent Write Performance	Limited (SQLite limitations)	Excellent
Schema Migration Workflow	Standard	Excellent (deploy requests)
Horizontal Sharding	Not supported	Vitess sharding

The Verdict

Use Turso if: You're building a globally distributed app where read latency matters, you want a generous free tier, or you're doing multi-tenant architecture where each tenant gets an isolated database.

Use PlanetScale if: You're on MySQL, you need sophisticated schema migration workflows for a team, or you're at a scale where Vitess sharding is relevant.

Consider: For most new projects: Turso for its free tier and edge model, or Neon for full Postgres. PlanetScale requires a budget commitment that isn't justified until you're at meaningful scale.

Turso vs PlanetScale: FAQ

Is Turso or PlanetScale better?

Turso is the Nice Pick. Turso's edge model is genuinely novel and solves a real problem — read latency for globally distributed apps. PlanetScale's pricing change killed its appeal for smaller teams. Unless you're specifically on MySQL and at scale, Turso's generous free tier and edge-native SQLite wins for new projects.

When should you use Turso?

You're building a globally distributed app where read latency matters, you want a generous free tier, or you're doing multi-tenant architecture where each tenant gets an isolated database.

When should you use PlanetScale?

You're on MySQL, you need sophisticated schema migration workflows for a team, or you're at a scale where Vitess sharding is relevant.

What's the main difference between Turso and PlanetScale?

Turso puts SQLite at the edge, close to your users. PlanetScale puts MySQL behind a sophisticated branching system. Different problems, different tools.

How do Turso and PlanetScale compare on free tier?

Turso: 500 databases, 9GB, 1B reads/month. PlanetScale: None. Turso wins here.

Are there alternatives to consider beyond Turso and PlanetScale?

For most new projects: Turso for its free tier and edge model, or Neon for full Postgres. PlanetScale requires a budget commitment that isn't justified until you're at meaningful scale.

The Bottom Line

Turso wins

Turso's edge model is genuinely novel and solves a real problem — read latency for globally distributed apps. PlanetScale's pricing change killed its appeal for smaller teams. Unless you're specifically on MySQL and at scale, Turso's generous free tier and edge-native SQLite wins for new projects.

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