Does PlanetScale Work With Vercel?
PlanetScale and Vercel work together seamlessly for full-stack applications, with PlanetScale providing the database backend and Vercel hosting the frontend and serverless functions.
Quick Facts
How PlanetScale Works With Vercel
PlanetScale integrates naturally with Vercel through standard MySQL connection strings, making it ideal for serverless architectures. When you deploy a Next.js or other Node.js application on Vercel, you simply add your PlanetScale database credentials as environment variables, and your serverless functions instantly gain database access. PlanetScale's branching feature pairs exceptionally well with Vercel's preview deployments—you can create database branches that correspond to feature branches, allowing safe testing without touching production data.
The developer experience is frictionless because both platforms embrace the serverless paradigm. Vercel's Edge Functions and Serverless Functions both support MySQL clients like `mysql2`, `prisma`, and `drizzle-orm`. PlanetScale handles connection pooling automatically, which is crucial for serverless environments where thousands of concurrent connections would otherwise overwhelm a traditional database. The main architectural consideration is that PlanetScale enforces foreign key constraints must be disabled for safe deployments with branching, which requires thoughtful schema design.
This combination excels for modern full-stack development: your Next.js API routes become your backend, deployed instantly on Vercel's edge network globally, while PlanetScale ensures your database scales with your traffic automatically. Deployment is atomic—push to GitHub, Vercel deploys, database migrations run, done. The only caveat is connection limits on free tiers, but production deployments scale without friction.
Best Use Cases
Next.js API Route with PlanetScale
npm install mysql2 dotenvimport { createConnection } from 'mysql2/promise';
export default async function handler(req, res) {
const connection = await createConnection({
host: process.env.PLANETSCALE_HOST,
user: process.env.PLANETSCALE_USER,
password: process.env.PLANETSCALE_PASSWORD,
database: process.env.PLANETSCALE_DB,
ssl: 'amazon',
});
const [rows] = await connection.execute(
'SELECT * FROM users WHERE id = ?',
[req.query.id]
);
await connection.end();
res.status(200).json(rows[0]);
}Known Issues & Gotchas
Foreign key constraints disabled by default in PlanetScale
Fix: Enable them explicitly if needed, but redesign application logic to handle constraint violations gracefully. Use application-level validations instead of relying on database constraints in branching workflows.
Connection timeouts during cold starts if connection pool is exhausted
Fix: Use PlanetScale's connection pooling endpoint (add `?sslaccept=strict` to connection string) and implement connection retry logic in your application code.
Vercel's free tier has limited execution time (10 seconds), which may timeout complex database queries
Fix: Optimize queries, use database indexing, or upgrade to Pro tier for longer execution windows (up to 60 seconds).
PlanetScale free tier has 5GB storage limit and limited backup retention
Fix: Monitor storage usage with PlanetScale dashboard; upgrade to paid plan for production workloads with backups.
Alternatives
- •Supabase (PostgreSQL) with Vercel—more feature-rich but heavier PostgreSQL overhead
- •Firebase Realtime Database with Vercel—excellent for real-time but less SQL-friendly
- •AWS RDS Aurora Serverless with Vercel—more control but requires VPC configuration and higher complexity
Resources
Related Compatibility Guides
Explore more compatibility guides