Overview
PlanetScale is a managed database platform that provides a serverless MySQL experience, built on the open-source database clustering system Vitess. Founded in 2018, its core offering, the PlanetScale Database, focuses on enabling developers to manage and scale MySQL databases with features designed for modern application development workflows. The platform is engineered to support applications requiring high availability and horizontal scalability, particularly those built with serverless architectures or microservices.
A central tenet of PlanetScale's design is its emphasis on developer productivity through features like database branching. This allows developers to create isolated copies of their production database schemas for development, testing, and staging environments, similar to Git branches for application code. This workflow facilitates parallel development and testing of schema changes without impacting the production database, addressing a common challenge in traditional database management. When a branch is ready, changes can be merged into the production schema through a non-blocking deployment process, reducing the risk of downtime during schema migrations.
PlanetScale is designed for use cases ranging from small, rapidly growing startups to larger enterprises. It is particularly suited for applications that experience variable or unpredictable workloads, where automatic scaling and resilience are critical. The platform abstracts away much of the operational complexity associated with managing sharded MySQL deployments, including replication, failover, and scaling. For example, Vitess, the underlying technology, enables MySQL to scale horizontally by sharding data across multiple servers, a technique often explored in high-scalability architectures. This approach aims to reduce the operational burden on development teams, allowing them to focus on application logic rather than database infrastructure. Developers interact with PlanetScale through a command-line interface (CLI), a web-based dashboard, and a programmatic API, supporting integration into CI/CD pipelines.
Key features
- Database branching: Create isolated, production-like database branches for development and testing, enabling parallel workstreams and reducing conflict.
- Non-blocking schema changes: Deploy schema modifications without locking tables or causing application downtime, utilizing a two-phase commit process.
- Automatic sharding with Vitess: Leverages Vitess to automatically shard MySQL databases, providing horizontal scalability and high availability without manual configuration.
- Serverless architecture: Scales database resources up and down automatically based on demand, optimizing cost and performance for variable workloads.
- Data import and export: Tools and guides for migrating existing MySQL data into PlanetScale and exporting data out.
- Read replicas: Support for creating read-only copies of databases to distribute read traffic and improve application responsiveness.
- Built-in connection pooling: Manages database connections efficiently, reducing overhead and improving application performance, especially in serverless environments.
- Monitoring and alerting: Provides dashboards and metrics for database performance, health, and usage, with integration options for external monitoring tools.
- API and CLI: Offers a comprehensive API (PlanetScale API reference) and a command-line interface for programmatic database management and automation.
Pricing
PlanetScale offers a free Hobby plan and usage-based paid plans. Pricing is primarily determined by rows read, rows written, and storage consumed. All paid plans include unlimited branches and production database features.
| Plan | Monthly Cost | Included Reads | Included Writes | Included Storage | Notes |
|---|---|---|---|---|---|
| Hobby | Free | 100 million rows | 10 million rows | 10 GB | 1 database, for personal projects. |
| Scaler | Starts at $29 | 1 billion rows | 100 million rows | 50 GB | Includes 24/7 support. Additional usage billed per unit. |
| Business | Custom | Custom | Custom | Custom | Enterprise-grade features, dedicated support, custom SLAs. |
Pricing as of 2026-05-06. Refer to the PlanetScale pricing page for the most current information.
Common integrations
- Vercel: Seamless deployment of applications to Vercel with integrated PlanetScale databases. PlanetScale Vercel integration guide.
- Next.js: Connect Next.js applications using various ORMs and database clients. Next.js with PlanetScale quickstart.
- Prisma: Popular ORM for TypeScript and Node.js that integrates with PlanetScale. Prisma quickstart with PlanetScale.
- Drizzle ORM: TypeScript ORM that supports PlanetScale and its connection pooling capabilities. Drizzle ORM quickstart.
- Go: Connect Go applications using the
go-sql-driver/mysqldriver. Go with PlanetScale quickstart. - Python: Connect Python applications using
PyMySQLor other MySQL drivers. Python with PlanetScale quickstart. - GitHub Actions: Automate database branching, schema changes, and deployments within CI/CD pipelines. GitHub Actions integration guide.
Alternatives
- Supabase: An open-source Firebase alternative providing PostgreSQL databases, authentication, and real-time APIs.
- Neon: A serverless PostgreSQL platform offering branching, autoscaling, and a generous free tier.
- CockroachDB: A distributed SQL database designed for global scale, strong consistency, and high availability.
- Google Cloud SQL for MySQL: A fully managed relational database service for MySQL, PostgreSQL, and SQL Server.
- Amazon RDS for MySQL: A managed relational database service offering MySQL instances in the AWS cloud.
Getting started
To get started with PlanetScale, you typically create a database, connect to it, and then perform operations. The following example demonstrates connecting to a PlanetScale database using Node.js with the mysql2 driver.
import mysql from 'mysql2/promise';
async function connectToPlanetScale() {
const connection = await mysql.createConnection({
host: process.env.PLANETSCALE_DB_HOST,
user: process.env.PLANETSCALE_DB_USERNAME,
password: process.env.PLANETSCALE_DB_PASSWORD,
database: process.env.PLANETSCALE_DB,
ssl: {
rejectUnauthorized: true
}
});
console.log('Successfully connected to PlanetScale!');
// Example: Create a table
await connection.execute(
`CREATE TABLE IF NOT EXISTS users (
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(255) NOT NULL,
email VARCHAR(255) UNIQUE NOT NULL
)`
);
console.log('Table "users" ensured to exist.');
// Example: Insert data
const [insertResult] = await connection.execute(
'INSERT INTO users (name, email) VALUES (?, ?)',
['Alice Smith', '[email protected]']
);
console.log(`Inserted user with ID: ${insertResult.insertId}`);
// Example: Query data
const [rows] = await connection.execute('SELECT * FROM users');
console.log('Users:', rows);
await connection.end();
console.log('Connection closed.');
}
connectToPlanetScale().catch(err => {
console.error('Error connecting or operating on PlanetScale:', err);
});
Before running this code, ensure you have the mysql2 package installed (npm install mysql2) and set up your environment variables (PLANETSCALE_DB_HOST, PLANETSCALE_DB_USERNAME, PLANETSCALE_DB_PASSWORD, PLANETSCALE_DB) with credentials obtained from your PlanetScale dashboard. For detailed instructions on connecting from various languages and frameworks, refer to the PlanetScale connection documentation.