Databricks Feature Store - MLflow Integration
by Databricks · enterprise · Last verified 2026-04-12
The Databricks Feature Store provides a centralized repository for managing and sharing machine learning features. Its integration with MLflow enables seamless tracking of feature usage in ML models, ensuring reproducibility and simplifying model deployment workflows by automatically packaging feature dependencies.
https://www.databricks.com/product/machine-learning/feature-store ↗A
A—Great
Adoption: AQuality: A+Freshness: A+Citations: B+Engagement: A
Specifications
- License
- Proprietary
- Pricing
- enterprise
- Capabilities
- feature-engineering, feature-serving, metadata-management, model-training, model-deployment
- Integrations
- MLflow, Apache Spark, Delta Lake, AWS SageMaker, Azure Machine Learning
- Use Cases
- fraud-detection, recommendation-systems, predictive-maintenance, customer-churn, risk-assessment
- API Available
- Yes
- Tags
- feature-store, mlops, model-tracking, data-governance, databricks
- Added
- 2026-04-12
- Completeness
- 100%
Index Score
82.8Adoption
85
Quality
90
Freshness
95
Citations
75
Engagement
80