Databricks Clean Rooms
Product
Databricks Clean Rooms provides a governed environment for privacy-preserving data collaboration between organizations.
- Currently Offered
Databricks Clean Rooms provides a governed environment for privacy-preserving data collaboration between organizations.
Databricks Clean Rooms lets multiple organizations analyze combined datasets in a governed, no-trust environment where each party keeps data in its own account and only approved computations run against shared assets. It builds on open sharing protocols and serverless compute with notebook approval controls, output tables, and audit logging for joint analytics workloads.
Data, advertising, and measurement teams use it for audience overlap, segmentation, and partner analytics without exposing underlying records to collaborators, alongside related sharing and marketplace capabilities on the Databricks platform.
Anjuna Northstar provides confidential clean rooms for sensitive data and AI model collaboration.
Amazon Web Services' clean-room service for privacy-safe data collaboration and analysis across partner datasets in the cloud.
Decentriq Data Clean Rooms is a confidential-computing clean room for secure multi-party data collaboration.
Snowflake's native clean-room capability for privacy-preserving data collaboration and audience activation between partners.
Anjuna Northstar provides confidential clean rooms for sensitive data and AI model collaboration.
Amazon Web Services' clean-room service for privacy-safe data collaboration and analysis across partner datasets in the cloud.
Decentriq Data Clean Rooms is a confidential-computing clean room for secure multi-party data collaboration.
Snowflake's native clean-room capability for privacy-preserving data collaboration and audience activation between partners.
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LiveRamp's cloud-based platform for privacy-conscious data collaboration, identity resolution, and audience activation across channels.
Snowflake Secure Data Sharing enables providers to share selected Snowflake data with consumers without copying the underlying data.
BigQuery Data Sharing uses Analytics Hub to publish, discover, and access shared analytics assets through governed data exchanges.
Hex is a collaborative data science and analytics platform that combines SQL, Python, and R in a modular notebook-based canvas.
Segment Functions runs custom JavaScript inside the Segment CDP to transform, enrich, and filter event data.
Microsoft Fabric unifies data integration, engineering, analytics, governance, business intelligence, and AI tools.
Deepnote is a Jupyter-compatible data science notebook designed for collaborative team projects and real-time sharing.
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Snowflake CoWork is a governed work agent that analyzes enterprise data and helps users complete business tasks.
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An AI-powered enterprise data catalog with automated documentation, governance, lineage, and metadata management.
AI-powered data platform that unifies systems and data for private-equity-backed roll-up companies.
Monte Carlo Data Observability monitors data freshness, volume, and schema to catch bad data downstream.
