Databricks
PlanetScale
| Feature | Databricks | PlanetScale |
|---|---|---|
| Pricing | Free / from $0.07/mo | From $39/mo |
| Free Plan | ✓ Yes | ✗ No |
| Rating | 4.5 / 5 | 4.5 / 5 |
| Best For | data-engineering-teams, ml-teams, enterprises, large-scale-analytics | saas-companies, startups, developer-teams, high-traffic-apps |
| Founded | 2013 | 2018 |
| Data Lakehouse | ✓ | ✗ |
| Sql Analytics | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Real Time Streaming | ✓ | ✗ |
| Data Governance | ✓ | ✗ |
| Notebooks | ✓ | ✗ |
| Delta Lake | ✓ | ✗ |
| Database Branching | ✗ | ✓ |
| Schema Changes | ✗ | ✓ |
| Auto Scaling | ✗ | ✓ |
| Read Replicas | ✗ | ✓ |
| Insights Dashboard | ✗ | ✓ |
| Cli Tools | ✗ | ✓ |
| Connection Pooling | ✗ | ✓ |
✓ Databricks Pros
- Unified platform for data engineering, science, and analytics
- Delta Lake provides ACID transactions on data lakes
- Excellent ML/AI capabilities with MLflow integration
- Community Edition is free for learning
✗ Databricks Cons
- Complex pricing with DBU credits
- Requires data engineering expertise to configure
- Vendor lock-in once deeply integrated
✓ 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
Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. PlanetScale targets saas companies and startups and leads with database-branching and schema-changes.
On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $39/mo for PlanetScale. That $38.93/mo difference adds up quickly for growing teams.
Databricks 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.
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.