Hex
PlanetScale
| Feature | Hex | PlanetScale |
|---|---|---|
| Pricing | Free / from $28/mo | From $39/mo |
| Free Plan | ✓ Yes | ✗ No |
| Rating | 4.4 / 5 | 4.5 / 5 |
| Best For | data-analysts, data-scientists, analytics-engineers, data-teams | saas-companies, startups, developer-teams, high-traffic-apps |
| Founded | 2019 | 2018 |
| Sql Cells | ✓ | ✗ |
| Python Cells | ✓ | ✗ |
| Charts | ✓ | ✗ |
| Data Apps | ✓ | ✗ |
| Scheduling | ✓ | ✗ |
| Version History | ✓ | ✗ |
| Database Branching | ✗ | ✓ |
| Schema Changes | ✗ | ✓ |
| Auto Scaling | ✗ | ✓ |
| Read Replicas | ✗ | ✓ |
| Insights Dashboard | ✗ | ✓ |
| Cli Tools | ✗ | ✓ |
| Connection Pooling | ✗ | ✓ |
✓ Hex Pros
- SQL + Python in one tool
- Beautiful data apps
- Collaborative notebooks
- Good sharing features
✗ Hex Cons
- Expensive for teams
- Learning curve for non-technical
- Limited self-hosting
✓ 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
Hex is built for data analysts and data scientists, with a focus on sql-cells and python-cells. PlanetScale targets saas companies and startups and leads with database-branching and schema-changes.
On pricing, Hex is the clear winner for budget-conscious users — starting at $28/mo compared to $39/mo for PlanetScale. That $11/mo difference adds up quickly for growing teams.
Hex 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 Hex 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.