Turso alternative to PlanetScale: SQLite at the edge, and a free tier that still exists

Why buyers actually switch from PlanetScale to Turso

Two forces push teams from PlanetScale to Turso: the free tier disappearing, and a workload that is fundamentally edge or multi-tenant, where SQLite economics beat a big MySQL platform.

1. The free tier went away

PlanetScale removed its free tier in April 2024, stranding hobby projects and small teams. Turso's free plan with real allowances filled that gap directly.

2. Per-tenant databases are cheap

PlanetScale is one database per branch, not designed for thousands of tenant databases. Turso makes per-tenant isolation almost free, which fits multi-tenant SaaS naturally.

3. Edge reads

Turso's embedded replicas put SQLite data next to your users for very low read latency, which a regional MySQL primary cannot match for a global audience.

Deep dive: SQLite at the edge

Turso's bet is that for read-heavy, globally distributed apps, replicated SQLite beats a centralized database.

Embedded replicas

A local SQLite replica serves reads with near-zero latency and syncs with the primary, so global users get fast reads.

Per-tenant isolation

Creating a database per tenant is cheap enough to do at scale, giving each customer real data isolation without operational pain.

Deep dive: Where PlanetScale still leads

Schema changes at scale

PlanetScale's non-blocking schema changes and deploy requests are best-in-class for evolving a large MySQL schema safely.

Write-heavy workloads

SQLite's single-writer model shows its limits under high write concurrency, where Vitess-backed MySQL is built to scale.

Who Turso is actually for

1. The edge-first application

Apps that serve a global audience read-heavy content benefit most from replicated SQLite.

2. The multi-tenant SaaS

Products that want a database per customer get cheap, real isolation on Turso.

3. The side project that lost its free database

Developers displaced by PlanetScale's free-tier removal get a free tier back.

Migration walkthrough: how to switch from PlanetScale to Turso

Step 1: Create a Turso database

Provision a libSQL database and choose the regions closest to your users for replication.

Step 2: Convert your schema

Adapt your MySQL schema to SQLite types; most tables translate directly, but review type and function differences.

Step 3: Migrate your data

Export from PlanetScale and import into Turso, validating row counts and key constraints after load.

Step 4: Add embedded replicas

Configure embedded replicas in your app so reads are served locally with low latency.

Step 5: Update the client

Swap the MySQL driver for the libSQL client and adjust any MySQL-specific SQL to SQLite equivalents.

Step 6: Benchmark your write path

Test write concurrency against your workload, since SQLite's single-writer model behaves differently from Vitess.

Objection handling: “Is SQLite really appropriate for a production web app?”

For read-heavy workloads and per-tenant isolation, absolutely — and embedded replicas make those reads extremely fast, which is exactly why edge and multi-tenant apps choose it. SQLite is production-proven in countless systems. The honest limit is write concurrency: SQLite uses a single-writer model, so a workload with very high concurrent writes to one database is where it shows strain, and a Vitess-backed MySQL platform like PlanetScale is built for that. The right way to decide is to benchmark your actual write path, not to argue in the abstract. If your app is read-dominant or naturally sharded per tenant, SQLite at the edge is a strong production choice; if it hammers one database with writes, weigh PlanetScale.