Databricks
Devin
| Feature | Databricks | Devin |
|---|---|---|
| Pricing | Free / from $0.07/mo | From $500/mo |
| Free Plan | ✓ Yes | ✗ No |
| Rating | 4.5 / 5 | 4 / 5 |
| Best For | data-engineering-teams, ml-teams, enterprises, large-scale-analytics | engineering-teams, enterprise-developers, code-maintenance, automated-testing |
| Founded | 2013 | 2024 |
| Data Lakehouse | ✓ | ✗ |
| Sql Analytics | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Real Time Streaming | ✓ | ✗ |
| Data Governance | ✓ | ✗ |
| Notebooks | ✓ | ✗ |
| Delta Lake | ✓ | ✗ |
| Autonomous Coding | ✗ | ✓ |
| Planning | ✗ | ✓ |
| Debugging | ✗ | ✓ |
| Deployment | ✗ | ✓ |
| Code Review | ✗ | ✓ |
| Testing | ✗ | ✓ |
| Slack Integration | ✗ | ✓ |
✓ 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
✓ Devin Pros
- Truly autonomous (handles multi-step engineering tasks)
- Own environment with terminal, browser, and code editor
- Can learn from documentation and unfamiliar codebases
- Handles real GitHub issues and PRs independently
✗ Devin Cons
- Very expensive at $500/month for teams
- Output quality varies significantly by task complexity
- Limited availability (still in early access)
The Verdict
Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. Devin targets engineering teams and enterprise developers and leads with autonomous-coding and planning.
On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $500/mo for Devin. That $499.93/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. Devin requires a paid subscription from day one.
Databricks edges out on user ratings (4.5 vs 4). While both are well-regarded, that gap reflects real differences in user satisfaction worth considering.
Bottom line: Databricks has a slight overall edge — but if truly autonomous (handles multi-step engineering tasks) matters most to you, Devin may still be the right call.