Databricks And Habu
The Clean Room For Next-Generation Customer Experiences
Enable safe, scalable, and intelligent collaboration with your partners in today’s privacy-first world. Leverage Databricks Delta Sharing to share models, training code, and data, while protecting your assets in highly secure clean rooms.
Habu is the 2023 Databricks Marketplace Communications, Media and Entertainment Partner of the Year.
Power Clean Room Use Cases With Habu Software On The Databricks Lakehouse
Orchestration of Databricks Clean Rooms
Democratize data insights and model training with a no-code UX for business users. Habu includes pre-built analytic queries and reports for common use cases to shield less technical users from complex data engineering tasks.
Interoperability With No Data Movement
Collaborate with partners across clouds, regions, and data platforms. Habu connects to data at its source and uses its fully interoperable hybrid cloud pattern for secure collaboration.
Enterprise-Grade Security And Governance
Control how much data is shared and used with Habu’s adaptive governance framework. Define the level of transparency with partners to maintain data privacy and security, and work within evolving regulations.
Collaborative Data Science
Discover more data to develop, train, and run machine learning models. Run complex computations and workloads on shared data using SQL, Python, and other data science tools, packages, and languages.
Use Case Flexibility And Automation
Build and execute anything from single queries to complex multi-step workflows utilizing BI, ML, AI, or custom code. Integrated GenAI and advanced automation capabilities refresh dashboards, trigger alerts, and increase user productivty.
Unlock the Power of Secure Data Collaboration with Clean Rooms
Learn how to drive more effective and efficient advertising campaigns, plus unlock new revenue opportunities with interoperable, multi-party, and privacy-preserving data clean rooms.
The Definitive Guide To Data Clean Rooms
Take a deep dive on data clean rooms and explore topics such as use cases, operational best practices, and the role of business users and data scientists in modern data collaboration.