According to a recent LinkedIn post from Databricks, the company is promoting a new open protocol called OpenSharing as an evolution of its existing Delta Sharing technology. The post suggests that OpenSharing is intended to standardize the way agent skills, AI models, and unstructured data are shared across organizations and platforms, and notes that the project is now hosted by the Linux Foundation and available on GitHub.
The post highlights current limitations in the agentic AI stack, pointing to fragmented, vendor-specific marketplaces and custom integrations as evidence of interoperability challenges. For investors, the move toward an open, Linux Foundation–backed standard could strengthen Databricks’ position in data and AI infrastructure by encouraging ecosystem adoption and reducing vendor lock-in concerns.
If OpenSharing gains traction among developers and enterprise users, Databricks may benefit from increased platform stickiness and expanded data-sharing use cases that complement its core Lakehouse offerings. At the same time, aligning with an open protocol approach may pressure competitors to respond with their own interoperability strategies, potentially influencing standards formation and competitive dynamics in the broader AI tools market.
The reference in the post to media coverage by The New Stack underscores that this initiative is being positioned as a strategic technology development rather than a minor feature update. While direct revenue implications are not specified, the focus on cross-organizational sharing and agent skills suggests a long-term play to capture more AI workloads and collaboration scenarios, which could support Databricks’ growth trajectory if successfully adopted.