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Databricks Clean Rooms

Privacy-safe collaboration for data, analytics and AI

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Databricks Clean Rooms allow businesses to easily collaborate in a secure environment with their customers and partners on any cloud in a privacy-safe way.

Key benefits

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Any language and workload of your choice

Run computations in any language — SQL, Python, R, Scala and Java — enabling joins and crosswalks as well as complex computations and ML/AI use cases.

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Any scale with collaboration at any trust level

Easily scale to complex workloads with API support, built-in orchestration and multiparty collaboration.

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Any cloud, any platform with no replication

Collaborate across clouds, across regions and across data platforms — without requiring data movement — powered by Delta Sharing.

Use Cases

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Category management for retail and consumer goods

Clean rooms enable real-time collaboration between retailers and suppliers, ensuring secure information exchange for demand forecasting, inventory planning and supply chain optimization. This improves product availability, reduces costs and streamlines operations for both parties.

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Real-world evidence (RWE) for healthcare

Clean rooms provide secure access to sensitive healthcare datasets, allowing collaborators to connect and query multiple sources of data without compromising data privacy. This supports RWE use cases such as regulatory decisions, safety, clinical trial design and observational research.

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Audience overlap exploration for media and entertainment

By creating a clean room environment, media companies can securely share their audience data with advertisers or other media partners. This allows them to perform in-depth analysis and identify shared audience segments without directly accessing or exposing individual user information.

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Know Your Customer (KYC) in banking

KYC standards are designed to combat financial fraud, money laundering and terrorism financing. Clean rooms can be used within a given jurisdiction to allow financial services companies to collaborate and run shared analytics to build a holistic view of a transaction for investigations.

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Personalization with expanded interests for retailers

Retailers want to target consumers based on past purchases, as well as other purchases with different retailers. Clean rooms enable retailers to augment their knowledge of consumers to suggest new products and services that are relevant to the individual but have not yet been purchased.

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5G data monetization for telecom

5G data monetization enables telecoms to capitalize on data from 5G networks. Clean rooms provide a secure environment for collaboration with trusted partners, ensuring privacy while maximizing data value for optimized services, personalized experiences and targeted advertising.

Featured customers and partners for Databricks Clean Rooms