Oracle Expands AI Lakehouse With 3 New Tools, Promises Semantic Layer Within 12 Months
Updated
Updated · InfoWorld · Oct 26
Oracle Expands AI Lakehouse With 3 New Tools, Promises Semantic Layer Within 12 Months
3 articles · Updated · InfoWorld · Oct 26
Summary
Oracle added three capabilities to its Autonomous AI Lakehouse: a Business Semantic Layer, a Business Simulation Engine, and broader Apache Iceberg support unveiled at its AI World conference.
The semantic layer is due within 12 months and is designed to give AI agents consistent business definitions—covering KPIs, hierarchies, calculations, and measures—across natural-language queries, data retrieval, and analytics tools such as Select AI.
The new simulation engine integrates Oracle Essbase so enterprises can run what-if analysis, write-back, hierarchy rollups, and Excel-based analysis on data stored in Oracle databases or object storage.
Expanded Iceberg support lets customers create, update, and delete Iceberg tables with SQL, which analysts said could reduce data duplication and ease work across Spark, Snowflake, Databricks, and Oracle.
Analysts said the additions could improve AI reliability and planning speed, but warned they also raise governance, workflow-integration, and vendor lock-in risks; Oracle gave no availability date for the simulation engine or Iceberg upgrades.