Does PostgreSQL Work With Turso?

Works With WorkaroundsLast verified: 2026-02-26

PostgreSQL and Turso don't directly integrate—they're separate database systems, but you can use both in the same application for different purposes.

Quick Facts

Compatibility

workaround

Setup Difficulty

Moderate

Official Integration

No — community maintained

Confidence

medium

Minimum Versions

How PostgreSQL Works With Turso

PostgreSQL and Turso are fundamentally different databases: PostgreSQL is a traditional ACID-compliant relational database, while Turso is an edge-distributed SQLite fork optimized for low-latency global reads. They don't have native integration because Turso doesn't replicate PostgreSQL schemas or data. However, developers can use both in the same application by maintaining separate connections and using each for its strengths—PostgreSQL for complex transactional workloads and Turso for edge-cached reads or lightweight distributed queries. The typical pattern involves syncing critical data from PostgreSQL to Turso using event-driven replication (webhooks, CDC, or scheduled jobs) or using them independently for different features. This requires managing two separate data models and ensuring consistency through application logic. The developer experience is manageable but adds operational complexity around data synchronization and schema management across both systems.

Best Use Cases

→Real-time analytics: Store transactional data in PostgreSQL, replicate aggregated metrics to Turso for fast edge-based dashboard queries

→Global read caching: Keep authoritative data in PostgreSQL, sync frequently-accessed reference data (configs, lookups) to Turso for sub-millisecond reads

→Hybrid OLTP/OLAP: Use PostgreSQL for operational transactions, replicate sanitized data to Turso for distributed reporting

→Multi-region applications: PostgreSQL in one region for consistency-critical operations, Turso replicas globally for content delivery

Quick Setup: Sync PostgreSQL to Turso

bash

npm install pg @libsql/client dotenv

typescript

import { Client as PgClient } from 'pg';
import { createClient } from '@libsql/client';

const pgClient = new PgClient({
  connectionString: process.env.DATABASE_URL,
});

const tursoClient = createClient({
  url: process.env.TURSO_CONNECTION_URL,
  authToken: process.env.TURSO_AUTH_TOKEN,
});

// Sync users from PostgreSQL to Turso
async function syncUsers() {
  const result = await pgClient.query('SELECT id, name, email FROM users');
  
  for (const user of result.rows) {
    await tursoClient.execute({
      sql: 'INSERT OR REPLACE INTO users (id, name, email) VALUES (?, ?, ?)',
      args: [user.id, user.name, user.email],
    });
  }
  
  console.log('Sync complete');
}

// Read from Turso (edge)
const fastRead = await tursoClient.execute('SELECT * FROM users WHERE id = ?', [123]);
console.log(fastRead.rows);

await pgClient.end();
await tursoClient.close();

Known Issues & Gotchas

critical

No automatic schema synchronization between PostgreSQL and Turso

Fix: Implement manual schema management or use tools like Prisma with multiple providers to maintain separate schemas. Use version control for all schema changes.

warning

Data consistency challenges when syncing from PostgreSQL to Turso

Fix: Implement event-driven replication with idempotency checks. Use timestamps or version numbers to handle out-of-order updates. Consider eventual consistency in your data model.

warning

Turso lacks some PostgreSQL features (stored procedures, complex triggers, custom types)

Fix: Keep business logic in application code rather than database. Only sync data structures Turso supports (standard SQL types).

info

Transaction support differs significantly between systems

Fix: Use PostgreSQL for ACID transactions, treat Turso data as eventually-consistent read cache. Don't attempt distributed transactions across both.

Alternatives

•PostgreSQL with read replicas + connection pooling (Pgbouncer, PgCat) for edge performance without adding another database
•DynamoDB + PostgreSQL: Use DynamoDB for distributed caching/sessions, PostgreSQL for relational data (AWS-native solution)
•Neon with compute branches + standard PostgreSQL replication for distributed PostgreSQL-only architecture without SQLite constraints

Resources

docsTurso Documentation docsPostgreSQL Official Documentation githublibSQL GitHub Repository tutorialEvent-Driven Data Sync Patterns

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