vs

PlanetScale vs Prisma Postgres

PlanetScale: Performance-focused managed MySQL (Vitess) and Postgres, with NVMe-backed Metal clusters and branching. Prisma Postgres: Serverless Postgres from the Prisma ORM team, on unikernels, billed per operation with no cold starts.

key differences

  • PlanetScale is built for larger datasets (Multi-PB) than Prisma Postgres (≤ 100 GB).
  • Horizontal scaling is native in PlanetScale and none in Prisma Postgres.
  • Only PlanetScale has change data capture, compression, branching, online schema changes.
  • Prisma Postgres has a serverless option; PlanetScale does not.

choose planetscale for

  • +High-traffic SaaS backends sensitive to tail latency
  • +Teams that want safe, reviewable schema changes in CI
  • +Outgrowing a single MySQL primary
  • +Migrating from RDS/Aurora to faster NVMe-backed Postgres

best at · OLTP, Content, Metadata

choose prisma-postgres for

  • +TypeScript apps built with Prisma ORM
  • +Side projects and startups needing quick Postgres
  • +Serverless functions on Vercel, Netlify or Cloudflare
  • +Many small databases for templates or AI-generated apps

best at · OLTP, Content

overview
Primary model
Relational
Relational
Also supports
Document, Vector
Document
Type
Managed service
Managed service
Status
Active
Active
Developer
PlanetScale, Inc.
Prisma Data, Inc.
First release
2021
2025
Latest version
–
–
License
ProprietaryProprietary (managed service; Vitess is Apache-2.0)
ProprietaryProprietary (managed service)
Free tier
—
✓
popularity
WhichDB Score
25.7
14.6
Rank
#118
#228
GitHub stars
671
–
Stack Overflow questions
60
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Small (≤ 100 GB)
Horizontal scaling
Native
None
Multi-region
Read replicas
None
ACID
Full
Full
Consistency
Strong, Eventual
Strong
Schema
Strict
Strict
Architecture
Primary replica, Distributed
Serverless, Primary replica
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
—
✓
Embedded
—
—
Edge
—
—
Clouds
AWS, Google Cloud
–
capabilities
Transactions
✓
✓
Joins
✓
✓
Secondary indexes
✓
✓
Full-text search
✓
✓
Vector search
✓
✓
Geospatial
—
—
JSON
✓
✓
Change data capture
✓
—
Triggers
✓
✓
Stored procedures
✓
✓
Materialized views
✓
✓
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
—
Encryption at rest
✓
✓
Role-based access
✓
✓
Time travel
—
—
Branching
✓
—
Online schema changes
✓
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
SQL, PL/pgSQL
SQL, PL/pgSQL
Client languages
JavaScript, Go, Python, Ruby, PHP, Java, Rust
JavaScript, TypeScript, Python, Go, Java
Best for
OLTP, Content, Metadata, Vector search
OLTP, Content

PlanetScale vs Prisma Postgres: FAQ

What is the difference between PlanetScale and Prisma Postgres?

PlanetScale: Performance-focused managed MySQL (Vitess) and Postgres, with NVMe-backed Metal clusters and branching. Prisma Postgres: Serverless Postgres from the Prisma ORM team, on unikernels, billed per operation with no cold starts. PlanetScale is built for larger datasets (Multi-PB) than Prisma Postgres (≤ 100 GB). Horizontal scaling is native in PlanetScale and none in Prisma Postgres. Only PlanetScale has change data capture, compression, branching, online schema changes.

When should I choose PlanetScale over Prisma Postgres?

Choose PlanetScale for high-traffic SaaS backends sensitive to tail latency; teams that want safe, reviewable schema changes in CI; and outgrowing a single MySQL primary. Choose Prisma Postgres for TypeScript apps built with Prisma ORM; side projects and startups needing quick Postgres; and serverless functions on Vercel, Netlify or Cloudflare.

Is PlanetScale or Prisma Postgres more popular?

PlanetScale ranks #118 on the WhichDB Score (25.7/100) and Prisma Postgres ranks #228 (14.6/100). Popularity is not fit: check the requirements that matter for your project.

Are PlanetScale and Prisma Postgres open source?

No. PlanetScale is proprietary, closed-source software. No. Prisma Postgres is proprietary, closed-source software.