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Data Sharing

Open data sharing for data, analytics and AI

Data Sharing with Databricks Lakehouse Platform

Databricks and the Linux Foundation developed Delta Sharing to provide the first open source approach to data sharing across data, analytics and AI. Customers can share live data across platforms, clouds and regions with strong security and governance.

Key benefits

Open cross-platform sharing

Avoid vendor lock-in, and easily share existing data in Delta Lake and Apache Parquet formats to any data platform.

Share live data with no replication

Share across data platforms, clouds or regions without copying, and share using Cloudflare R2 to lower costs with zero egress fees.

Centralized governance

Centrally manage, govern, audit and track usage of the shared data on one platform.

Marketplace for data products

Build and package data products — including datasets, AI models and notebooks — once and distribute them anywhere through an open marketplace.

Privacy-safe data clean rooms

Easily collaborate with your customers and partners on any cloud via a secure hosted environment while safeguarding data privacy.

How it works

Native Integration

Native integration with the Databricks Platform

Delta Sharing has native integration with Unity Catalog, which allows you to centrally manage and audit shared data across organizations. This lets you confidently share data assets with suppliers and partners for better coordination of your business while meeting security and compliance needs.

Delta Sharing

Easily manage data and AI assets

Empower any AI or BI workload by collaborating on all types of data assets, including structured datasets, or unstructured datasets with volume sharing, AI models, notebooks and code. Sign up now to get early access to Cross-Platform View Sharing and also early access to Materialized Views and Streaming Tables Sharing.

Delta Sharing

Discover and access data products through an open marketplace

Databricks Marketplace allows you to easily discover, evaluate and gain access to data products including datasets, AI models, dashboards and notebooks from anywhere, without the need to be on the Databricks Platform.

Delta Sharing

Privacy-safe data clean rooms

Collaborate with your customers and partners on any cloud in a privacy-safe environment with Databricks Clean Rooms. Securely share data without data replication. Meet collaborators on their preferred cloud and provide them with the flexibility to run complex computations and workloads in any language — SQL and Python, as well as R, Scala and Java (coming soon). Guide collaborators through common use cases using predefined templates, notebooks and dashboards, accelerating time to insights.

Use cases


Build Data Mesh with Delta Sharing to securely share data with business units and subsidiaries across clouds or regions without copying or replicating the data.



“Atlassian Analytics recently launched Data Shares, leveraging Delta Sharing from Databricks, to boost flexibility and accelerate customers’ time to insight. … Delta Sharing’s open ecosystem of connectors, including Tableau, Power BI and Spark, enables customers to easily power their environments with data directly from the Atlassian Data Lake.”

— Ben Jackson, Senior Group Product Manager, Data & Analytics, Atlassian

“With Databricks and Delta Sharing, we have a comprehensive end-to-end ecosystem that enables us to gain deep insights in the oncology realm.”

— Kiran Reddy Nomula, Director of Data Management, Ontada
deutsche borse

“Historically, each of our businesses have grown on their own tech stack, and we pursue a multicloud strategy. To connect them without having to move to a single cloud environment and locking ourselves into one vendor, we use Delta Sharing.”

— Abed Shareef, Vice President of Big Data and Advanced Analytics, Deutsche Börse

“We recognize that openness of data will play a key role in achieving Shell’s carbon net-zero ambitions. Delta Sharing provides Shell with a standard, controlled and secure protocol for sharing vast amounts of data easily with our partners to work toward these goals without requiring our partners to be on the same data-sharing platform.”

— Bryce Bartmann, Chief Digital Technology Advisor, Shell

“Delta Sharing helped us streamline our data delivery process for large datasets. This enables our clients to bring their own compute environment to read fresh curated data with little to no integration work, and enables us to continue expanding our catalog of unique, high-quality data products.”

— William Dague, Head of Alternative Data, Nasdaq
coastal community bank

“We used Delta Sharing, and after we gave them a workspace ID, we had tables of data showing up in our Databricks workspace in under 10 minutes.”

— Barb MacLean, Senior Vice President and Head of Technology Operations and Implementation, Coastal Community Bank

“As a data company, giving our customers access to our datasets is critical. The Databricks Data Intelligence Platform with Delta Sharing really streamlines that process, allowing us to securely reach a much broader user base regardless of cloud or platform.”

— Felix Cheung, VP of Engineering, SafeGraph

“Leveraging the powerful capabilities of Delta Sharing from Databricks enables Pumpjack Dataworks to have a faster onboarding experience, removing the need for exporting, importing and remodeling of data, which brings immediate value to our clients. Faster results yield greater commercial opportunity for our clients and their partners.”

— Corey Zwart, Head of Engineering, Pumpjack Dataworks

“With Delta Sharing, our clients can access curated datasets nearly instantly and integrate them with analytics tools of their choice. The dialogue with our clients shifts from a low-value, technical back-and-forth on ingestion to a high-value analytical discussion where we drive successful client experiences. As our client relationships evolve, we can seamlessly deliver new datasets and refresh existing ones through Delta Sharing to keep clients apprised of key trends in their industries.”

— Anup Segu, Data Engineering Tech Lead, YipitData

An open ecosystem

Access the latest published version directly from the provider in easy-to-use SQL, Python or BI tools.

Open Ecosystem

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