Turso vs PlanetScale: Edge SQLite or Serverless MySQL?

Background

The edge database market is one of the fastest-growing segments in cloud infrastructure. Traditional databases run in a single region, meaning users on the other side of the world experience tens to hundreds of milliseconds of latency on every query. Turso and PlanetScale address this scaling challenge through radically different architectures. Turso brings the database to the edge via distributed SQLite replicas, handling reads locally with minimal latency. PlanetScale scales MySQL horizontally through Vitess with centralized regions and connection pooling. Both platforms invest heavily in developer experience with CLI tooling, database branching and serverless compatibility, but the underlying architecture, cost model and target audience differ fundamentally.

What are the key differences between Turso and PlanetScale?

When to choose which?

What is the verdict on Turso vs PlanetScale?

Turso and PlanetScale embody two fundamentally different visions for the future of cloud databases. Turso innovates by bringing SQLite to the edge, placing databases physically closer to users for reads with single-digit millisecond latency. Embedded replicas are a unique capability that eliminates network overhead entirely for read operations, and the per-tenant database model makes Turso particularly well-suited for multi-tenant SaaS architectures. PlanetScale delivers enterprise-grade MySQL scaling through the proven Vitess framework, with excellent schema management tools and deep query analytics via Insights. The tradeoff is the removal of the free tier and higher entry costs starting at 39 dollars per month. Your choice depends on architecture and budget: edge-first with minimal latency and a generous free tier with Turso, or MySQL enterprise scaling with advanced branching, analytics and battle-tested sharding with PlanetScale.

Which option does MG Software recommend?

At MG Software, we closely follow the rise of edge databases, but for our primary production workloads we choose PostgreSQL via Supabase. The combination of Row Level Security, real-time subscriptions and the PostgreSQL extension ecosystem integrates seamlessly with our Next.js and TypeScript stack on Vercel. Turso is an excellent choice for specific edge use cases where sub-millisecond read latency is critical, for example personalization logic in Vercel Edge Functions or per-tenant data serving in a multi-tenant SaaS. The generous free tier makes it ideal for experimentation and prototypes. We recommend PlanetScale specifically for clients with an established MySQL ecosystem who need enterprise-grade horizontal scaling without rewriting their application layer. The edge database market is evolving rapidly, and we expect Turso's approach of distributed SQLite to become increasingly relevant as more application logic moves to the edge.

Migrating: what to consider?

Switching between Turso and PlanetScale means a complete database engine change. Turso uses libSQL, which is SQLite-compatible, while PlanetScale runs MySQL via Vitess. SQL dialects, data types and query patterns differ significantly. SQLite lacks native DATE or DATETIME types and does not support stored procedures. MySQL has no ROWID concept and uses different locking mechanisms. Evaluate the complexity of your queries and any dependencies on engine-specific features before starting a migration. Using an ORM like Drizzle or Prisma can simplify the database abstraction layer and make future migrations between platforms considerably easier to manage.