Databricks Clean Rooms: Now Generally Available on AWS and Azure

We’re thrilled to announce the General Availability (GA) of Databricks Clean Rooms on AWS and Azure, a significant step forward in enabling secure, privacy-centric data collaboration. Following the Public Preview launch in August, we've engaged closely with customers and partners to enhance and refine the Clean Rooms, integrating new functionalities that cater to a wide array of industry requirements, including those in advertising, healthcare, financial services, and retail.

In the GA release, users can expect enhanced features that improve data governance and privacy controls, enabling organizations to securely collaborate without compromising sensitive information.

Leading companies such as Mastercard, Intuit and AppsFlyer have already begun using Databricks Clean Rooms within their respective sectors, including financial services, healthcare, and advertising. We encourage you to explore the latest advancements and learn how they can empower your data strategies.

What is Databricks Clean Rooms?

Databricks Clean Rooms is powered by Delta Sharing and allows businesses to easily collaborate with their customers and partners on any cloud without compromising privacy or sharing sensitive data. Participants in a clean room can securely share and join their existing data, and run complex workloads using any language — such as Python, which provides native support for ML. When collaborating in a clean room, your data stays in place and you are always in control of where and how the data is being used.

What’s New in GA?

With this release, Databricks Clean Rooms introduces several new capabilities designed to enhance collaboration, security, and compliance:

• Output Tables: Generate and share approved analytical outputs directly in Unity Catalog, enabling downstream workflows while maintaining strict privacy controls.
• HIPAA Compliance: Clean Rooms now offers HIPAA compliance features, making them an ideal solution for healthcare organizations processing sensitive patient data. This enhancement opens up new possibilities for secure collaboration in healthcare, fostering innovation while protecting patient privacy.
• Management APIs: New APIs have been introduced to automate clean room setup, orchestration, and monitoring. These powerful tools enable efficient scaling across multiple collaborators and use cases, reducing administrative overhead and accelerating time-to-insight.
• Self-Collaboration: Create clean rooms within a single metastore, enabling collaboration between users from the same metastore or even with yourself. This is a great option for customers who want to try the clean room product within their own organization before collaborating with external parties. This feature also provides flexibility for internal data sharing and analysis, streamlining workflows within organizations.
• Federated Sharing (Preview): Take advantage of the new query federation feature to seamlessly collaborate with partners across clouds and data platforms without needing to replicate or migrate all the data.

These enhancements collectively represent a significant leap in empowering organizations to unlock the full potential of data collaborations with their partners and customers, while maintaining the highest standards of privacy and security.

Demo: Privacy-Centric Collaboration in Action

Our latest demo showcases how two banks collaborate on a joint fraud detection initiative using a data clean room to identify suspicious transaction patterns and potential fraudsters. The demo illustrates how users can securely bring their data and fraud detection models from various sources, including Snowflake, into the clean room. The banks then run agreed-upon analytics and share approved results, all while maintaining robust data governance and compliance.

Customer Momentum: Real-World Impact

Several customers have already begun leveraging Databricks Clean Rooms to solve complex challenges.

Mastercard Leads the Way in Privacy-First Data Collaboration

Mastercard operates in 210 countries and territories with 3.5 billion cards in circulation.

The tech company’s pedigree lies in delivering trust to its customers and partners, which is why Mastercard has been using Privacy Enhancement Technology (PETs) to power utility from data while ensuring compliance. As the next step to the company’s commitment to data responsibility principles, Mastercard closely partnered with Databricks to create a unique privacy-enhancing offering using Databricks Clean Room capabilities.

The use of PETs and Mastercard controls within this clean room offering has allowed Mastercard to dynamically and innovatively govern privacy and confidentiality capabilities based on collaborators, regionality, data types and specific use cases.

“Trust is the foundation of everything we do. Our partnership with Databricks Clean Rooms to create a unique privacy-enhancing offering upholds our data and tech responsibility principles, unlocking valuable insights for our customers and partners. At Mastercard, data is at the heart of our products and services, and we believe that responsible data innovation is essential to move society forward in meaningful ways.” 

— Andrew Reiskind, Chief Data Officer, Mastercard

Intuit: Enabling Privacy-Centric Collaboration for Lenders

Intuit’s QuickBooks Capital helps businesses access loans by partnering with external lenders. To support this effort, Intuit uses Databricks Clean Rooms to collaborate with lending partners while maintaining its emphasis on the security and privacy of customer data. This solution allows Intuit to uncover insights that drive better outcomes for customers.

Databricks Clean Rooms simplifies collaboration by enabling Intuit to work seamlessly with external lending partners, regardless of their platforms or cloud providers. This flexibility speeds up our ability to solve our customers most critical capital needs. Additionally, support for multiple programming languages and Databricks Notebooks allows collaborators to derive valuable insights from joint data using mutually agreed-upon code, helping Intuit and its partners efficiently identify aggregated insights.

“At Intuit, our vision is to make it easier for our customers to achieve their financial goals through innovative solutions that enhance our commitment to the security and privacy of customer data. To support this, Databricks Clean Rooms enables privacy-centric and security-forward collaboration with external partners. This approach helps us improve how we work with partners, and expand opportunities for our customers.” 

— Harith Elrufaie, Distinguished Engineer, Intuit

Interoperability: Unlocking seamless data collaboration with AppsFlyer DCP

AppsFlyer is a leading data collaboration, marketing measurement, and data analytics platform. AppsFlyer Data Collaboration Platform (DCP) is an interoperable platform that enables brands and commerce media networks to seamlessly collaborate, run campaigns, and perform comprehensive measurements across platforms and channels. While some of these collaborators might use different platforms and clouds, interoperability is critical for scalable and privacy-first data collaboration.

Databricks Clean Rooms enhanced AppsFlyer DCP’s capabilities to collaborate across regions, clouds, and platforms. This partnership empowers brands and partners working with either platform to securely share data across clouds, unlock deeper audience insights, streamline operations, and drive impactful campaigns without compromising data security. By addressing critical challenges in data accessibility and measurement, this collaboration ensures businesses can achieve scalable growth and optimize marketing investments in today’s interconnected, privacy-first ecosystem.

“Our partnership with Databricks underscores AppsFlyer's commitment to interoperability. By integrating our Data Collaboration Platform with Databricks Clean Rooms, we enable businesses to harness the full potential of their data, driving growth while maintaining the highest levels of data privacy and ethical practices in data use,” said Edik Mitelman, General Manager Privacy Cloud at AppsFlyer.

Clean Rooms Partner Ecosystem

Databricks Clean Rooms ecosystem thrives on a network of innovative partnerships, enabling secure and privacy-centric data collaboration. Key players like Integral Ad Science, Hightouch, Amperity and CoreLogic are empowering businesses to unlock actionable insights while safeguarding data privacy. These partnerships integrate advanced technologies to streamline audience segmentation, media measurement, and campaign optimization.

IAS

“Integral Ad Science (IAS) views Databricks Clean Rooms as an extension of our own data collaboration capabilities to build seamless and interoperable solutions across clouds for our customers. By building on Databricks’ privacy-centric and flexible platform, IAS has been able to stay clean-room agnostic, and has enabled advertisers and publishers to securely analyze and optimize campaign performance without moving or replicating data.”

— Bala Rajagopal, Vice President, Engineering, Integral Ad Science

CoreLogic

“Databricks Clean Rooms make property data more powerful and accessible, providing our clients with timely insights to guide better decisions - all while ensuring privacy and security. This partnership is transforming how real estate data drives smarter, more informed choices.”

— Devi Mateti, President, Enterprise Digital Solutions, CoreLogic

Hightouch

“Databricks Clean Rooms is another exciting development for data collaboration and activation across advertising, retail, and regulated industries.  Hightouch is thrilled to help business teams access approved clean room data, and put it to work with our tools for segmentation, activation, and AI Decisioning across hundreds of downstream tools.”

— Tejas Manohar, Co-Founder and Co-CEO, Hightouch

Databricks Clean Rooms are now generally available on AWS and Azure, and we’re making it easier than ever for you to explore their capabilities.

• To help you get started, we’ve introduced sample clean room datasets available through the Databricks Marketplace. These datasets, along with a starter notebook, allow you to test out key use cases—such as audience overlap analysis—without needing to bring your own data.
• You can also watch our recent 2024 Data + AI Summit sessions about Clean Rooms to learn more about how it works: Collaboration with Databricks Clean Rooms and PETs, Getting Started with Databricks Clean Rooms, Secure Data and AI Collaboration with Databricks Clean Rooms.
• Databricks Clean Rooms is now available in Private Preview on the Google Cloud Platform (GCP). Contact your account team to try Clean Rooms on GCP.

Ready to get started?