Databricks
dbt
| Feature | ||
|---|---|---|
| Pricing | Free / from $0.07/mo | Free / from $100/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.6 / 5 |
| Best For | data-engineering-teams, ml-teams, enterprises, large-scale-analytics | data-teams, analytics-engineers, bi-teams, data-driven-companies |
| Founded | 2013 | 2016 |
| Data Lakehouse | ✓ | ✗ |
| Sql Analytics | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Real Time Streaming | ✓ | ✗ |
| Data Governance | ✓ | ✗ |
| Notebooks | ✓ | ✗ |
| Delta Lake | ✓ | ✗ |
| Sql Transformations | ✗ | ✓ |
| Data Testing | ✗ | ✓ |
| Documentation | ✗ | ✓ |
| Version Control | ✗ | ✓ |
| Scheduling | ✗ | ✓ |
| Lineage | ✗ | ✓ |
| Metrics Layer | ✗ | ✓ |
✓ 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
✓ dbt Pros
- Industry standard for data transformation in warehouses
- SQL-based (accessible to analysts, not just engineers)
- Excellent testing and documentation framework
- dbt Core is fully open-source and free
✗ dbt Cons
- dbt Cloud pricing can be steep for large teams
- Requires a data warehouse (does not store data)
- Learning curve for software engineering practices
The Verdict
Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. dbt targets data teams and analytics engineers and leads with sql-transformations and data-testing.
On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $100/mo for dbt. That $99.93/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.
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.