Databricks Feature Store
A key component of the Databricks Lakehouse Platform for ML.
Overview
Databricks Feature Store is a centralized repository for features within the Databricks Lakehouse Platform. It enables data scientists and ML engineers to discover, share, and reuse features, and it simplifies the process of training and serving models by providing a consistent view of features across the ML lifecycle.
✨ Key Features
- Feature discovery and sharing
- Integration with Delta Lake
- Automated feature computation
- Online and offline serving
- Feature lineage and governance
🎯 Key Differentiators
- Deep integration with the Databricks Lakehouse Platform
- Unified analytics and AI platform
- Leverages Delta Lake for data management
Unique Value: Provides a seamless and integrated feature management experience for users of the Databricks Lakehouse Platform.
🎯 Use Cases (3)
✅ Best For
- Customer churn prediction
- Product recommendations
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Organizations not using the Databricks platform
🏆 Alternatives
Offers tighter integration with Databricks services compared to third-party feature stores. It simplifies the MLOps lifecycle for teams already using Databricks.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
Free tier: NA
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