PlanetScale icon

PlanetScale

★★★★★ 4.5
VS

Xata

★★★★ 4.3
Feature PlanetScale Xata
Pricing From $39/mo Free / from $8/mo
Free Plan ✗ No ✓ Yes
Rating 4.5 / 5 4.3 / 5
Best For saas-companies, startups, developer-teams, high-traffic-apps developers, startups, jamstack-apps, full-stack-teams
Founded 2018 2020
Database Branching
Schema Changes
Auto Scaling
Read Replicas
Insights Dashboard
Cli Tools
Connection Pooling
Serverless Database
Full Text Search
Vector Search
File Attachments
Branching
Api

✓ PlanetScale Pros

  • Git-like branching for database schema changes
  • Non-blocking schema changes with no downtime
  • Built on Vitess (powers YouTube's database)
  • Excellent developer experience and CLI

✗ PlanetScale Cons

  • Free tier was removed in 2024
  • MySQL-compatible only (no PostgreSQL)
  • Foreign key constraints not supported in traditional way

✓ Xata Pros

  • Built-in search and AI
  • Spreadsheet-like UI
  • Generous free tier
  • TypeScript SDK

✗ Xata Cons

  • Less flexible than raw Postgres
  • Newer platform
  • Limited for complex queries

The Verdict

PlanetScale is built for saas companies and startups, with a focus on database-branching and schema-changes. Xata targets developers and startups and leads with serverless-database and full-text-search.

On pricing, Xata is the clear winner for budget-conscious users — starting at $8/mo compared to $39/mo for PlanetScale. That $31/mo difference adds up quickly for growing teams.

Xata has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. PlanetScale requires a paid subscription from day one.

Feature-wise, PlanetScale offers broader built-in capabilities (7 features vs 6), while Xata takes a more focused approach — which can mean a simpler, faster onboarding experience.

Both tools are a solid fit for startups — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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