TL;DR
Data sharing across organizations was often slow and limited, leading to stale data and compliance issues. Databricks introduced OpenSharing, an open protocol for sharing data, models, agents, and skills without copying data or being restricted by platform.
✦ Why It Matters
Engineers can utilize OpenSharing to improve data collaboration and reduce compliance risks in their projects.
Key Takeaways
Full Summary
Data teams have long faced challenges in sharing live data across organizational boundaries, often resorting to data copying, which creates outdated replicas and compliance headaches. In 2021, Databricks launched Delta Sharing, a pioneering open protocol that allows for real-time data sharing without the need for data duplication or platform restrictions.
Building on this success, OpenSharing has been introduced as the next evolution, enabling the sharing of not just data but also models, agents, and skills across any cloud and vendor. This protocol has gained traction, with over 28,000 data recipients and 33% of shares occurring across different platforms via open connectors.
Major companies like SAP and Mercedes-Benz have adopted this technology, demonstrating its effectiveness in fostering collaboration. The implications for engineers and researchers are significant, as they can now leverage this open protocol to enhance innovation and streamline data sharing processes.