Databricks

Databricks released Genie plugins that let agents in ChatGPT, Claude, Microsoft Copilot Cowork and Grok Bot reach enterprise context through the Genie MCP server. Previously an agent facing a business question started a live search, hopping between MCP servers, opening documents and trying tables with little sense of where the right answer lived. With the plugin, Genie interprets business terms through Genie Ontology, finds data the user is allowed to see, writes and runs SQL, and returns an answer with citations, routing to domain Genie Agents when needed.

Databricks released Genie plugins that let agents in ChatGPT, Claude, Microsoft Copilot Cowork and Grok Bot reach enterprise context through the Genie MCP server. Previously an agent facing a business question started a live search, hopping between MCP servers, opening documents and trying tables with little sense of where the right answer lived. With the plugin, Genie interprets business terms through Genie Ontology, finds data the user is allowed to see, writes and runs SQL, and returns an answer with citations, routing to domain Genie Agents when needed.

Databricks announced general availability of Genie Ontology, a layer of enterprise business context that agents learn automatically and people govern. Enterprise ontologies were previously built and maintained by specialists, covering only a narrow slice of the business and going stale quickly; Genie Ontology extracts reusable ontology snippets from dashboards, SQL queries, notebooks and semantic models, then ranks them by authority before handing context to an agent. On a benchmark built with Turing around a fictional UK energy supplier, Genie drawing on the ontology answered correctly in 91% of runs, against 45% and 58% for two frontier agents.

Databricks announced general availability of Genie Ontology, a layer of enterprise business context that agents learn automatically and people govern. Enterprise ontologies were previously built and maintained by specialists, covering only a narrow slice of the business and going stale quickly; Genie Ontology extracts reusable ontology snippets from dashboards, SQL queries, notebooks and semantic models, then ranks them by authority before handing context to an agent. On a benchmark built with Turing around a fictional UK energy supplier, Genie drawing on the ontology answered correctly in 91% of runs, against 45% and 58% for two frontier agents.

Databricks has extended Genie Agents from turning business questions into SQL queries to parsing documents, connecting to enterprise tools and being shared across organizations. Builders attach Unity Catalog volumes holding PDFs, slide decks or images to an agent; custom document parsing keeps tables, figures, headers and footers intact, the agent retrieves the most relevant file content and reasons over it together with structured data, and answers can cite the exact source page. Unstructured data analysis is in public preview, native MCP connectors are generally available, and OpenSharing and Genie Clean Rooms are in beta.

Databricks has extended Genie Agents from turning business questions into SQL queries to parsing documents, connecting to enterprise tools and being shared across organizations. Builders attach Unity Catalog volumes holding PDFs, slide decks or images to an agent; custom document parsing keeps tables, figures, headers and footers intact, the agent retrieves the most relevant file content and reasons over it together with structured data, and answers can cite the exact source page. Unstructured data analysis is in public preview, native MCP connectors are generally available, and OpenSharing and Genie Clean Rooms are in beta.

In June 2026 Databricks and the Linux Foundation announced that Delta Sharing has evolved into OpenSharing, extending the open sharing protocol from tables to agent skills, AI models and unstructured data. Previously the open protocol stayed table-centric, so these newer assets remained inside Databricks-to-Databricks sharing. OpenSharing adds a Share-to-Schema-to-Asset hierarchy to the specification, along with Iceberg REST Catalog client support and on-premises or private-cloud storage reach, while existing Delta Sharing clients remain compatible.

In June 2026 Databricks and the Linux Foundation announced that Delta Sharing has evolved into OpenSharing, extending the open sharing protocol from tables to agent skills, AI models and unstructured data. Previously the open protocol stayed table-centric, so these newer assets remained inside Databricks-to-Databricks sharing. OpenSharing adds a Share-to-Schema-to-Asset hierarchy to the specification, along with Iceberg REST Catalog client support and on-premises or private-cloud storage reach, while existing Delta Sharing clients remain compatible.