Does SQLite Work With PlanetScale?
SQLite and PlanetScale don't integrate directly, but you can use SQLite locally with PlanetScale in production through application-level migration strategies.
Quick Facts
How SQLite Works With PlanetScale
SQLite and PlanetScale serve fundamentally different purposes and aren't designed to work together. SQLite is a file-based, embedded database that runs locally without a server, while PlanetScale is a remote, hosted MySQL-compatible database. However, developers commonly use this pairing during development and deployment: run SQLite locally for fast iteration, then switch to PlanetScale in production. This works because most ORMs (Prisma, Sequelize, TypeORM, SQLAlchemy) support both databases with compatible query patterns. The key is using a database abstraction layer—you configure your ORM to use SQLite in development and PlanetScale in production via environment variables. Data synchronization between the two isn't automatic; you'll need to manually seed PlanetScale or use migration tools during deployment. This approach trades runtime compatibility for convenience: you get SQLite's speed and zero-config setup locally, but must test MySQL-specific behaviors before deploying to PlanetScale.
Best Use Cases
Quick Setup with Prisma
npm install @prisma/client prisma sqlite3// prisma/schema.prisma
generator client {
provider = "prisma-client-js"
}
datasource db {
provider = env("DATABASE_PROVIDER")
url = env("DATABASE_URL")
}
model User {
id Int @id @default(autoincrement())
email String @unique
name String?
}
// .env.local (development)
DATABASE_PROVIDER=sqlite
DATABASE_URL="file:./dev.db"
// .env.production
DATABASE_PROVIDER=mysql
DATABASE_URL="mysql://user:pass@aws.connect.psdb.cloud/dbname?sslaccept=strict"
// Use in code - identical API
import { PrismaClient } from '@prisma/client';
const prisma = new PrismaClient();
const user = await prisma.user.create({
data: { email: 'test@example.com', name: 'Alice' }
});Known Issues & Gotchas
SQLite doesn't support concurrent writes; PlanetScale handles them. Concurrent write code works locally but fails in production.
Fix: Use connection pooling in production. Test with PlanetScale explicitly before deploying.
SQLite's type system is loose; MySQL/PlanetScale enforces strict typing. Schema differences cause silent data corruption.
Fix: Use schema validation in your ORM (Prisma schema, TypeORM decorators) and test migrations on both databases.
SQLite supports fewer features: no CROSS JOIN, limited window functions, no foreign key constraints by default.
Fix: Test queries on PlanetScale before committing. Document MySQL-specific query patterns.
Data persisted in SQLite (:memory: or .db file) is never synced to PlanetScale automatically.
Fix: Use database seeds or dump/restore scripts for initial data setup in production.
Alternatives
- •PostgreSQL locally with Supabase in production (more feature parity, same serverless workflow)
- •DuckDB locally with Planetscale in production (columnar analytics locally, transactional OLTP remotely)
- •Mock/in-memory database with PlanetScale in production (fastest local testing, no data persistence)
Resources
Related Compatibility Guides
Explore more compatibility guides