OpenSharing
PulseAugur coverage of OpenSharing — every cluster mentioning OpenSharing across labs, papers, and developer communities, ranked by signal.
- 2026-06-11 product_launch Databricks donated Delta Sharing to the Linux Foundation, rebranding it as OpenSharing to foster open exchange of data and AI models. source
1 day(s) with sentiment data
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Databricks offers AI-powered real-time fraud detection for US government benefits
Databricks is enhancing fraud prevention for government benefits programs by leveraging its AI and real-time analytics platform. The company aims to help federal agencies move from a reactive "pay and chase" model to pr…
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Databricks expands partner ecosystem with new sharing and monetization tools
Databricks is enhancing its data and AI partner ecosystem with new capabilities designed to streamline how partners build, distribute, share, and monetize solutions on its platform. These updates include a new Marketpla…
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Databricks launches OpenSharing for AI agents, models, and data
Databricks has introduced OpenSharing, an evolution of its Delta Sharing protocol designed for the agentic AI era. This new open-source protocol, now hosted by the Linux Foundation, expands beyond data sharing to encomp…
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Databricks donates Delta Sharing to Linux Foundation for open AI model exchange
Databricks has donated its Delta Sharing technology to the Linux Foundation, where it will be developed as an open-source project. This initiative aims to create a vendor-neutral standard for sharing data, AI models, an…
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Databricks donates Delta Sharing to Linux Foundation for open AI model exchange
Databricks has donated its Delta Sharing technology to the Linux Foundation, where it will be developed as an open, vendor-neutral standard. This initiative, now named OpenSharing, aims to facilitate the exchange of dat…
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Replit and Databricks enhance integration, expand data governance
Replit and Databricks have enhanced their integration, introducing a user-to-machine (U2M) connector that allows applications built in Replit to access data within Databricks while respecting individual user permissions…