# Oracle Adds Live Queries and Business Context to Autonomous AI Lakehouse

By Simon Yoon

Canonical URL: https://www.tokenpost.com/news/technology/49484
Published: 2026-11-05T18:32:05.000Z
Updated: 2026-11-05T18:32:05.000Z
Section: Technology

> The AI Data Catalog’s agentic features and the Business Semantic Layer are planned for availability within the next 12 months.

Oracle is adding tools to its Autonomous AI Lakehouse that let AI agents query enterprise data across connected systems and use shared business context while external data stays in place.

Oracle unveiled the additions at its AI World event in Las Vegas on Oct. 26. The AI Data Catalog can connect to external catalogs and databases, Apache Iceberg tables, applications and object-store data. Customers can run live queries across those sources without duplicating the external data in the Lakehouse.

The catalog can span Oracle and non-Oracle environments, letting organizations query data where it resides. Oracle plans to make the catalog’s agentic features and the Business Semantic Layer available within the next 12 months. No firm release date was announced.

The Business Semantic Layer will let organizations add business annotations and use AI-suggested analytic views. Those views can cover dimensions, measures, metrics, hierarchies, calculations and key performance indicators. Together, the catalog and semantic layer address separate tasks: connecting data for live queries and giving AI agents and employees business context for interpreting it.

Oracle is also expanding SQL operations for Apache Iceberg. Customers will be able to create, populate, update and delete Iceberg tables with SQL.

Oracle introduced the Autonomous AI Lakehouse in 2025, pairing Autonomous AI Database with Apache Iceberg to access data across platforms and clouds. The Oct. 26 update adds catalog and semantic capabilities to that cross-platform setup.

On 100 TB TPC-DS data sets, the accelerator’s query execution was up to three times faster. The company also increased the maximum cluster size threefold.

Oracle named Liberty Energy as a current Lakehouse user. The energy company uses the platform to bring financial, operational, supply-chain and workforce data together across a multicloud environment.

“The need for real-time access is a lot more with AI,” said Nipun Agarwal, Oracle senior vice president of software engineering for Oracle Database.