Grist

★★★★ 4.3
VS
PlanetScale icon

PlanetScale

★★★★★ 4.5
Feature Grist PlanetScale
Pricing Free / from $10/mo From $39/mo
Free Plan ✓ Yes ✗ No
Rating 4.3 / 5 4.5 / 5
Best For developers, data-teams, non-profits, open-source-advocates saas-companies, startups, developer-teams, high-traffic-apps
Founded 2019 2018
Relational Data
Python Formulas
Custom Widgets
Access Rules
Incremental Imports
Api
Database Branching
Schema Changes
Auto Scaling
Read Replicas
Insights Dashboard
Cli Tools
Connection Pooling

✓ Grist Pros

  • Fully open-source (Apache 2.0)
  • Python formulas instead of spreadsheet formulas
  • Self-hostable
  • Strong access control and permissions

✗ Grist Cons

  • Fewer integrations than Airtable
  • Smaller template library
  • Less intuitive for non-technical users

✓ 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

The Verdict

Grist is built for developers and data teams, with a focus on relational-data and python-formulas. PlanetScale targets saas companies and startups and leads with database-branching and schema-changes.

On pricing, Grist is the clear winner for budget-conscious users — starting at $10/mo compared to $39/mo for PlanetScale. That $29/mo difference adds up quickly for growing teams.

Grist 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 Grist takes a more focused approach — which can mean a simpler, faster onboarding experience.

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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