Databricks
Weights & Biases
| Feature | Databricks | Weights & Biases |
|---|---|---|
| Pricing | Free / from $0.07/mo | Free / from $50/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.5 / 5 | 4.7 / 5 |
| Best For | data-engineering-teams, ml-teams, enterprises, large-scale-analytics | ml-engineers, research-teams, ai-companies, data-scientists |
| Founded | 2013 | 2017 |
| Data Lakehouse | ✓ | ✗ |
| Sql Analytics | ✓ | ✗ |
| Machine Learning | ✓ | ✗ |
| Real Time Streaming | ✓ | ✗ |
| Data Governance | ✓ | ✗ |
| Notebooks | ✓ | ✗ |
| Delta Lake | ✓ | ✗ |
| Experiment Tracking | ✗ | ✓ |
| Model Registry | ✗ | ✓ |
| Sweeps | ✗ | ✓ |
| Artifacts | ✗ | ✓ |
| Reports | ✗ | ✓ |
| Launch | ✗ | ✓ |
✓ 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
✓ Weights & Biases Pros
- Best-in-class experiment tracking
- Beautiful visualizations
- Great collaboration features
- Generous free tier
✗ Weights & Biases Cons
- Learning curve for full platform
- Can be expensive for large teams
- Requires integration work
The Verdict
Databricks is built for data engineering teams and ml teams, with a focus on data-lakehouse and sql-analytics. Weights & Biases targets ml engineers and research teams and leads with experiment-tracking and model-registry.
On pricing, Databricks is the clear winner for budget-conscious users — starting at $0.07/mo compared to $50/mo for Weights & Biases. That $49.93/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 Weights & Biases 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.