Trusted answers on new data from day one, with dltHub on Databricks

dltHub has announced a Private Preview integration with Databricks Unity Catalog Pages and Genie Ontology, aimed at helping organizations produce trusted, traceable AI-generated answers from newly loaded data. The offering combines dltHub’s managed data-pipeline infrastructure and open-source dlt library with Databricks’ catalog-based governance, allowing business definitions, data models, metric views, and AI responses to align within a single platform. The company argues that direct agent access to raw data through MCP can lead to inconsistent and unauditable answers, particularly in regulated sectors such as finance and healthcare, while a governed semantic layer lets organizations define, approve, and trace terms such as revenue, risk exposure, or waste. dltHub reports that users and agents loaded data from 53,623 sources for AI-related workloads in the prior month, a 198% monthly increase, underscoring the need for curated context as data sources expand. Through the integration, users can author definitions in Unity Catalog Pages, have dltHub’s AI harness use them to validate and build version-controlled pipelines and metric views, propose new terms for human approval, and enable Genie to answer questions using the same approved definitions; the preview is available to dltHub and Databricks customers.

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