Teradata has announced the integration of its Autonomous Knowledge Platform with Microsoft OneLake, enabling enterprises to run Teradata’s enterprise AI workloads directly against data stored in OneLake without ETL pipelines, duplication or migration. Built on Apache Iceberg standards, the integration allows customers to query OneLake tables in place through standard Iceberg APIs, while Microsoft Entra ID manages authentication and access controls. Organizations using Teradata and Microsoft Fabric can join and analyze data across environments without consolidating information or rebuilding governance, helping reduce pipeline maintenance, data latency, storage costs and governance gaps. The integration supports workloads including complex joins, AI feature pipelines and SLA-bound tactical queries while leaving source data in OneLake.
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“Moving data to analyze it is a constraint that adds cost and complexity without adding value. Bringing Teradata enterprise AI directly to Microsoft OneLake means customers can run the workloads that matter, on the data where it already lives, inside the governance model they’ve already built. This is a concrete step in making the Autonomous Knowledge Platform work wherever enterprise data exists,” said Sumeet Arora, Chief Product Officer at Teradata “Microsoft OneLake is built to be the unified data foundation for the AI era, connecting organizations with the platforms, tools, and data ecosystems they already trust. Teradata’s integration through Apache Iceberg exemplifies the openness and interoperability at the heart of Microsoft Fabric, enabling customers to bring their data together and accelerate their AI transformation without the complexity or rearchitecting around a single vendor,” said Dipti Borkar, Vice President, Microsoft OneLake and ISV Ecosystem at Microsoft.