Master PlanetScale with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Create PlanetScale account and set up initial database Install PlanetScale CLI for supported database and branch operations Configure application to use connection strings Set up an engine
appropriate schema workflow, such as Vitess Data Branching or Postgres development branches Implement monitoring and performance optimization
💡 Quick Start: Follow these 2 steps in order to get up and running with PlanetScale quickly.
Explore the key features that make PlanetScale powerful for cloud infrastructure workflows.
Git-like branching for Vitess database schemas enabling isolated testing and non-disruptive schema deployments; PlanetScale lists Data Branching as not available for Postgres.
Testing Vitess schema migrations in isolated environments before deploying to production without affecting live data
Zero-downtime schema migration workflows using online DDL operations and reviewable deployment processes for supported Vitess workflows.
Adding indexes or columns to large Vitess tables during peak traffic without causing application outages
Sharding and query routing built on Vitess technology for handling large MySQL-compatible workloads; PlanetScale lists horizontal sharding for Postgres as coming soon.
Scaling MySQL-compatible workloads beyond single-server limitations for applications with very large datasets
Analytics on query performance and slow queries to help teams identify database bottlenecks
Identifying performance bottlenecks and optimizing database queries without installing additional monitoring tools
Connection pooling through VTGates for Vitess and PgBouncer for Postgres, with managed cloud database capacity
Handling variable application traffic without managing low-level database connection infrastructure
Schema change workflows and deploy requests that help teams review and apply database changes more safely, with exact capabilities depending on the selected engine
Reducing accidental production risk during schema changes with reviewable deployment workflows
PlanetScale’s Vitess offering is MySQL-compatible, but teams should review compatibility details before migration because distributed Vitess architectures can affect some database features and schema patterns. PlanetScale also offers Postgres, so the right compatibility review depends on which engine you choose.
For Vitess databases, you create a branch, make schema changes, test them, create a deploy request similar to a pull request, and merge to the production branch. PlanetScale’s current plan documentation lists Data Branching for Vitess and not for Postgres; Postgres development branches are billed separately as new clusters.
PlanetScale positions Vitess for MySQL-compatible horizontal sharding and large-scale database operations. Enterprise options include migration assistance, and buyers planning large migrations should validate engine-specific migration workflow, downtime expectations, and operational support directly with PlanetScale.
PlanetScale is paid and usage-based, not freemium. Single-node Postgres starts at $5/month, Metal starts at $50/month, Base storage includes 10 GB and then bills additional network-attached storage at $0.50 per GB per instance, and high-availability storage is effectively $1.50/GB because it uses three instances.
Yes, PlanetScale supports standard relational database workflows and offers managed database engines rather than a proprietary application runtime. Migration planning should account for the selected engine, Vitess-specific architecture choices such as sharding, and any PlanetScale-specific branching or deployment workflows.
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Tutorial updated March 2026