Databricks
Microsoft Power BI
| Feature | Databricks | Microsoft Power BI |
|---|---|---|
| Pricing | Free / from $0.07/mo | Free / from $10/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.4 / 5 |
| Best For | data-engineering-teams, ml-teams, enterprises, large-scale-analytics | enterprise, analysts, microsoft-users, finance-teams |
| Founded | 2013 | 2015 |
| Data Lakehouse | ✓ | ✗ |
| Sql Analytics | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Real Time Streaming | ✓ | ✗ |
| Data Governance | ✓ | ✗ |
| Notebooks | ✓ | ✗ |
| Delta Lake | ✓ | ✗ |
| Dashboards | ✗ | ✓ |
| Reports | ✗ | ✓ |
| Ai Insights | ✗ | ✓ |
| Natural Language Query | ✗ | ✓ |
| Dataflows | ✗ | ✓ |
| Paginated Reports | ✗ | ✓ |
✓ 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
✓ Microsoft Power BI Pros
- Affordable
- Microsoft integration
- AI insights
- DAX powerful
✗ Microsoft Power BI Cons
- Windows-centric
- Complex for beginners
- Row limits
The Verdict
Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. Microsoft Power BI targets enterprise and analysts and leads with dashboards and reports.
On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $10/mo for Microsoft Power BI. That $9.93/mo difference adds up quickly for growing teams.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Feature-wise, Databricks offers broader built-in capabilities (7 features vs 6), while Microsoft Power BI 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.