Does MySQL Work With Turso?

Not CompatibleLast verified: 2026-02-26

You cannot use MySQL with Turso directly; they are fundamentally incompatible databases with different SQL dialects and protocols.

Quick Facts

Compatibility
none
Setup Difficulty
Complex
Official Integration
No — community maintained
Confidence
high
Minimum Versions

How MySQL Works With Turso

MySQL and Turso are entirely separate database systems that cannot be used together in a traditional sense. MySQL is a relational database server using its own wire protocol, while Turso is an edge-distributed database built on libSQL (a SQLite fork) with its own HTTP/WebSocket API. They don't share protocol compatibility, meaning you cannot point a MySQL client at Turso or vice versa. If you need data across both systems, you'd implement a separate ETL (extract-transform-load) layer or dual-write architecture, which introduces significant complexity and consistency challenges. Some developers migrate from MySQL to Turso when moving to edge computing architectures, but this requires schema translation, data migration, and rewriting application queries—it's a replacement decision, not an integration one. The SQL syntax differs in subtle ways (MySQL-specific functions vs. SQLite's limited function set), making a simple switch non-trivial.

Best Use Cases

Migrating a traditional MySQL application to an edge-first architecture by rewriting queries for Turso's libSQL dialect
Building a hybrid system where MySQL remains the source of truth and Turso serves as an edge cache for read-heavy workloads via custom sync logic
Testing edge database performance by replicating MySQL schemas to Turso and comparing query execution
Gradual migration strategy where you run both systems in parallel, slowly moving datasets and application logic from MySQL to Turso

One-Way Data Sync from MySQL to Turso (Conceptual)

bash
npm install mysql2 @libsql/client dotenv
typescript
import mysql from 'mysql2/promise';
import { createClient } from '@libsql/client';

const mysqlConn = await mysql.createConnection({
  host: 'localhost',
  user: 'root',
  password: 'password',
  database: 'myapp'
});

const turso = createClient({
  url: 'libsql://my-db-org.turso.io',
  authToken: process.env.TURSO_TOKEN
});

// Fetch from MySQL, write to Turso
const [rows] = await mysqlConn.query('SELECT id, name, email FROM users');
for (const row of rows) {
  await turso.execute({
    sql: 'INSERT OR REPLACE INTO users (id, name, email) VALUES (?, ?, ?)',
    args: [row.id, row.name, row.email]
  });
}

await mysqlConn.end();
console.log('Sync complete');

Known Issues & Gotchas

critical

SQL syntax incompatibility—MySQL supports features like JSON functions, full-text search, and stored procedures that Turso/libSQL either doesn't support or implements differently

Fix: Audit your MySQL queries and refactor them to use only ANSI SQL or libSQL-compatible syntax before migration. Move business logic to your application layer.

warning

Data type mismatches—MySQL's DATETIME, DECIMAL, and ENUM types don't map 1:1 to SQLite/libSQL equivalents

Fix: Test data migration thoroughly. Use TEXT for DATETIME (ISO 8601 format) and REAL for decimals if needed, or adjust your schema design upfront.

critical

No transaction support across both databases if attempting a dual-write pattern

Fix: Accept eventual consistency or implement a message queue (e.g., Redis, Kafka) as a mediator rather than trying direct synchronization.

warning

Turso has lower limits on database size (max 10GB per database currently) compared to MySQL's virtually unlimited scale

Fix: Evaluate your data volume requirements. For large datasets, MySQL is more suitable; use Turso only if your data fits within its constraints.

Alternatives

  • PostgreSQL + Turso: Use PostgreSQL as your primary database and replicate selected data to Turso for edge caching via custom sync logic or third-party CDC tools
  • SQLite + Turso: Build on SQLite locally and push to Turso for distribution, maintaining full SQL compatibility across both
  • MySQL + Redis: Use MySQL as the source database and Redis as an edge cache layer for frequently accessed data, avoiding the complexity of a second database

Resources

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