Databricks has made Genie Ontology, which organizes enterprise context for data agents, generally available, and on a benchmark Databricks ran, Genie scores 91%, against 58% and 45% for two unnamed rivals from frontier AI labs.

Concept illustration: on a white display stand against a pale blue-grey background, a framed board shows three bars: a medium-height grey bar on the left, the tallest bar, in red, in the middle, and the shortest bar, in grey, on the right, each topped by a small T-shaped mark. Below the board, three grey laptops stand on the stand's ledge, each screen showing a few lines of text and a speech bubble (the middle one's bubble is linked to three small boxes), and each laptop has a small white card beside it, the middle card lettered GENIE and the other two plain; the front of the stand carries a red shape made of stacked layers and large dark letters reading DATABRICKS. Printed on the image: 91% Genie score vs 58% and 45% for two unnamed rivals, on a test Databricks and Turing built and scored.

Databricks and partner Turing built and scored the test, so it isn't a third-party benchmark. The rivals are unnamed and used Databricks' toolkit without Genie's MCP interface. Genie Ontology lets agents learn a company's internal definitions and usage automatically from dashboards, SQL and notebooks (Databricks, 2026-11). Compared with the earlier Genie, which was a question-answering tool, this adds a layer of automatically organized context. The benchmark uses the workspace of a fictional energy company, with each question run five times; Genie used an average of 432,000 tokens per run, against 889,000 and 1.05 million for the two rivals. Databricks writes that all three agents can write SQL and that the gap comes from context. Databricks also writes that in new deployments, or where answers can be computed directly from tables, the gap may be smaller (Databricks, 2026-11). How we checked →

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This item ran in the brief of Nov 12, 2026, alongside 16 other items. How we checked it, the quote checks and what was still missing that day are on that issue's How we checked page.

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SecondSource (2026). "Databricks has made Genie Ontology, which organizes enterprise context for data agents, generally available, and on a benchmark Databricks ran, Genie scores 91%, against 58% and 45% for two unnamed rivals from frontier AI labs.." https://secondsource.io/en/product/2026-11-12-1/. Accessed access date.