PlanetScale
PaidThe world's most scalable serverless database platform.
Published 27 September 2026
Scores
Popularity4/5
A well-known and widely respected platform with a strong brand among engineering teams, though removing the free tier narrowed hobbyist adoption relative to free competitors.
Learning Curve3/5
MySQL and Postgres are familiar, but the deploy-request schema workflow and Vitess sharding behaviour introduce concepts that take time to internalise, especially around constraints that differ from a single-node database.
Flexibility3/5
Covers a broad range of workloads and offers both MySQL and Postgres, but sharding imposes trade-offs such as restricted foreign keys, and the platform is opinionated about how schema changes are shipped.
Performance5/5
Vitess horizontal scaling combined with dedicated NVMe-backed Metal compute delivers best-in-class throughput and consistent latency, and it is engineered for very large tables.
Portability4/5
Standard MySQL and Postgres wire protocols mean data can be dumped and migrated elsewhere, and Vitess is open source, so lock-in is moderate despite the proprietary managed layer.
About PlanetScale
PlanetScale is a serverless database platform built on Vitess, the open-source clustering and sharding system created to scale MySQL at YouTube. That foundation is what sets it apart: it can shard a database across many nodes to handle very large tables and high query volumes while presenting a single logical database to the application. It also runs PostgreSQL, both as regular clusters and, through Neki, as horizontally sharded Postgres built by the Vitess team.
Its signature developer workflow is schema branching with deploy requests. You create a branch of your database schema, make changes there, and open a deploy request that applies the change to production with zero-downtime online schema migrations and a revert path, mirroring how teams review code in pull requests. This makes risky schema changes on large production tables far safer than running raw ALTER statements.
Performance is a core focus. The Metal offering runs databases on local NVMe storage for consistent low latency, and connection handling is designed for serverless clients. There is no free plan: every database runs on a paid cluster, from a small single-node Postgres instance up to three-node highly available Vitess, Neki, and Metal clusters, with storage, egress, and backups metered on top.
Key Features
- Built on Vitess for horizontal sharding and scale
- Schema branching with deploy requests and safe reverts
- Zero-downtime online schema migrations
- MySQL (Vitess) and PostgreSQL engines
- Neki for horizontally sharded Postgres
- Metal clusters on local NVMe storage
- Insights query analytics and automated backups
Pros
- Proven scaling model for very large MySQL workloads
- Branch-and-deploy workflow makes schema changes low-risk
- Strong, consistent performance on the Metal tier
- Mature tooling, CLI, and observability
Cons
- No free tier, every database requires a paid plan
- Sharded Vitess and Neki databases need a shard key and limit some cross-shard queries
- Can be more expensive than plain managed databases at small scale
- The branching model has its own learning curve
PlanetScale Pricing
Paid- · Single-node Postgres cluster (1/16 vCPU, 512 MiB RAM)
- · Three-node highly available PS-5 is $15/month
- · Storage, egress, and backups metered beyond included amounts
- · Sharded Postgres with a three-node HA cluster per shard (1/8 vCPU, 1 GiB RAM, ARM)
- · $39/month on x86; routers and storage billed separately
- · Start on one shard and reshard online later
- · Highly available three-node Vitess MySQL cluster (1/8 vCPU, 1 GiB RAM)
- · Horizontal sharding and zero-downtime schema migrations
- · Scales up through larger PS and Metal SKUs
- · Three-node Postgres cluster on local NVMe storage
- · 10 GiB included storage; larger storage options cost up to $200/month
Tech Stacks with PlanetScale
Python Web (FastAPI + React)
ProjectA clean separation of concerns: React on the frontend, FastAPI serving a typed REST API, and PostgreSQL for persistent storage (MySQL, MariaDB, and serverless Postgres hosts are also available). Docker keeps environments consistent.
React + Django
ProjectReact frontend with a Django REST API backend, a popular Python full-stack combination.
Next.js + PostgreSQL
ProjectFull-stack Next.js app on PostgreSQL (self-managed or a serverless host like Neon), with Clerk, Auth0, or BetterAuth for auth, deployed to Vercel or a container host like Railway.
Programming
Databases
Hosting
Authentication
Tools Related to PlanetScale
Integrates with PlanetScale(2)
Prisma provides a PlanetScale driver adapter that works with its serverless connection model.
Drizzle connects to PlanetScale through its serverless HTTP driver for MySQL and the standard Postgres drivers, and PlanetScale employs Drizzle's core team.
Alternatives to PlanetScale(4)
Plain MySQL is free to run on any server; PlanetScale hosts MySQL on Vitess with horizontal sharding, deploy requests, and online schema changes, on paid plans only.
Self-managed PostgreSQL costs nothing in licence fees and runs anywhere; PlanetScale runs managed highly available Postgres clusters, including sharded Postgres through Neki, with branching and online schema changes on paid plans.
Neon is serverless Postgres that scales to zero and has a free plan; PlanetScale runs always-on MySQL (Vitess) and Postgres clusters with no free tier, aimed at high-throughput production workloads.
Prisma Postgres bills per operation with a free plan and suits small apps on the Prisma stack; PlanetScale runs always-on MySQL (Vitess) and Postgres clusters on paid plans, built for large production workloads.
Learning Resources
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Vendor
PlanetScale
Website →Tags
Details
- Maintained
- Yes
- DB model
- Relational
- Query language
- SQL
- Hosting
- Cloud managed
- ACID compliant
- Yes
- Replication
- Yes