Detailed comparison across 10 dimensions
Winner: MLflow
MLflow clearly comes out ahead of Databricks on Staquest's weighted six-dimension score. MLflow has a free tier; Databricks does not.
| Overview | ||
|---|---|---|
| Type | hybrid | hybrid |
| Company | Databricks | - |
| Free Tier | ||
| Has API | ||
| Open Source | ||
| Learning Curve | - | steep |
| Integration | - | high |
| Trending | Stable | Active |
| Industries | DevelopmentData & AnalyticsEducation & EdTechAI & Machine LearningSaaS & Cloud | Data & AnalyticsDevelopmentAI & Machine LearningEducation & EdTechSaaS & Cloud |
| Categories | ai-agents-frameworks | developer-toolsanalyticsdata-engineeringai-data-analysisai-chatbot |
| Website | Visit | Visit |
MLflow
open source
| Feature | mlflow | databricks |
|---|---|---|
| Experiment Tracking | ||
| Advanced Security | ||
| Hyperparameter Tuning | ||
| Audit Logs | ||
| Model Deployment | ||
| Basic Features | ||
| Model Registry | ||
| Rbac | ||
| Model Versioning |
Showing 9 of 9 features
Dashes mean the feature isn't listed in our data. The tool may still support it.
On Staquest's weighted six-dimension scoring, MLflow comes out ahead overall, though Databricks can be the better fit depending on your priorities — see the dimension-by-dimension breakdown above.
MLflow offers a free tier; Databricks does not currently list one.
MLflow is open source. The feature comparison and dimension scores above cover the full breakdown.
