Share data and AI assets securely with users in other organizations

This article introduces the following features that enable you to share the data and AI assets you have in Azure Databricks with users outside your organization or on different metastores within your Azure Databricks account:

• Delta Sharing is the core of the Azure Databricks secure data sharing platform, enabling you to share data and AI assets in Databricks with users outside your organization, whether those users use Databricks or not. Also available as an open-source project for sharing tabular data, using it in Databricks adds on the ability to share non-tabular, unstructured data (volumes), AI models, views, filtered data, and notebooks. Delta Sharing also provides the backbone for Databricks Marketplace and Databricks Clean Rooms.
• Databricks Marketplace is an open forum for exchanging data products. Providers must have a Databricks account, but recipients can be anybody. Marketplace assets include datasets, Databricks notebooks, Databricks Solution Accelerators, and machine learning (AI) models. Datasets are typically made available as catalogs of tabular data, although non-tabular data, in the form of Azure Databricks volumes, is also supported. Solution Accelerators are available as clonable Git repos.
• Clean Rooms uses Delta Sharing and serverless compute to provide a secure and privacy-protecting environment where multiple parties can share sensitive enterprise data and collaborate without direct access to each other’s data. With Clean Rooms, users from other Databricks accounts can collaborate to generate unique insights about shared projects, such as advertising campaigns, investment decisions, or research and development, without sharing access to sensitive underlying data. When you collaborate in a clean room, your data stays in place and you are always in control of where and how the data is being used.

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