Databricks Cleanrooms
Privacy-centric collaboration for data, analytics and AI.
Overview
Databricks Cleanrooms allows multiple organizations to securely collaborate on sensitive data without direct access to each other's raw data. It is built on Delta Sharing and supports flexible workloads in SQL, Python, R, and Scala. The platform is designed for a 'no-trust' environment where all collaborators must approve code before it can be run, ensuring privacy and security.
✨ Key Features
- Multi-language support (Python, R, SQL, Scala)
- Collaborate on data, analytics, and AI/ML workloads
- Built on Delta Sharing for secure data sharing without copying
- Cross-platform and multi-cloud collaboration
- No-trust environment with code approval workflows
- Full auditability of all actions
🎯 Key Differentiators
- Support for complex, multi-language workloads including AI and ML
- Native to the Databricks Lakehouse Platform
- Flexible, cross-platform collaboration without requiring data to be in Databricks
Unique Value: Enables businesses to collaborate securely on data, analytics, and AI workloads in any language, on any cloud, without compromising data privacy.
🎯 Use Cases (5)
✅ Best For
- Retailer and supplier joint business planning
- Financial institutions collaborating on fraud and risk models
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Simple marketing analytics (may be overly complex)
- Organizations not invested in the Databricks or data lakehouse ecosystem
🏆 Alternatives
Offers far greater flexibility for data science and machine learning workloads compared to SQL-only clean rooms, allowing for more advanced collaborative analysis.
💻 Platforms
🔌 Integrations
🛟 Support Options
- ✓ Email Support
- ✓ Live Chat
- ✓ Phone Support
- ✓ Dedicated Support (Premium, Enterprise tier)
🔒 Compliance & Security
💰 Pricing
✓ 14-day free trial
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