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Teradata Integrates Its Autonomous Knowledge Platform With Microsoft OneLake

Source Decision Insights Signals Published September 2, 2026 Mentions 2 companies

Companies mentioned

Teradata said it integrated its Teradata Autonomous Knowledge Platform with Microsoft OneLake so enterprise customers could run Teradata workloads on OneLake data where it already resided. The change addressed the need to access data across environments without extract, transform, and load (ETL) pipelines, duplication, or migration.

Teradata said the integration focused on reducing the work involved in synchronizing data between analytics platforms. It also framed data governance, including security policies and lineage, as traveling with the data rather than being rebuilt for each copy.

The integration relied on open Apache Iceberg standards. Teradata users could query OneLake tables in place using standard Iceberg APIs, while cross-platform authentication and access controls were handled natively, including Microsoft Entra ID for cross-platform authentication.

Teradata said the approach enabled read access to OneLake tables via Iceberg APIs, supporting workloads that included complex joins, AI feature pipelines, and SLA-bound tactical queries against data stored in OneLake without modifying the data or requiring it to exist elsewhere. Teradata also said the integration would be available through read access to OneLake tables, with a demonstration scheduled for Sep 28 to Oct 1, 2026, at the European Microsoft Fabric + SQL Community Conference in Barcelona, Spain.

“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.” — 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.” — Dipti Borkar, Vice President, Microsoft OneLake and ISV Ecosystem at Microsoft

Press release, provided by Cision on behalf of Teradata. Read the original.

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2 companies named across 4 categories, one of 356 sources referencing Microsoft. Previous coverage: MLCommons releases MLPerf Storage v3.0 benchmark results (September).