Oracle Corporation Announces 'Oracle Autonomous AI Lakehouse' Supporting Open Data Access

Oracle Corporation unveiled the Oracle Autonomous AI Lakehouse, an open and interoperable data platform, on the 20th.
This solution combines the Oracle Autonomous AI Database with the widely adopted Apache Iceberg standard, eliminating analytical silos without functional limitations and enabling faster development of AI and analytics solutions. Oracle Corporation also introduced the Autonomous AI Database Catalog, a 'super catalog' that integrates data and metadata from multiple catalogs and platforms. This streamlines data discovery and access across multi-data platforms and cloud environments.
Çetin Özbütün, Senior Vice President of Autonomous Database Technologies at Oracle Corporation, stated, “The Oracle Autonomous AI Lakehouse is a no-compromise lakehouse platform that merges the proven Oracle Autonomous AI Database, capable of processing over 48 billion queries per hour, with the openness of Apache Iceberg. Oracle Corporation not only breaks down data silos between analytical systems using Iceberg, but also enables the use of Iceberg data across a variety of operational and analytical platforms, spanning both cloud and on-premises environments.”
With native support for Apache Iceberg, the Autonomous AI Lakehouse integrates with major catalogs such as Unity Catalog from Databricks, AWS Glue, and Snowflake Polaris Catalog, providing easy and high-performance access to all Iceberg tables. Features such as Select AI, which converts natural language to SQL and offers an agentic AI framework, JSON-relational duality, property graph analytics, and AI vector search can be applied to data in Iceberg tables. This approach leverages the performance, availability, and security of Oracle Exadata, minimizes vendor lock-in, and reduces operational burdens from data movement. The Autonomous AI Lakehouse is available on Oracle Cloud Infrastructure (OCI), AWS, Microsoft Azure, Google Cloud, and Oracle Exadata Cloud@Customer.
Stephen Orban, Senior Vice President of Product Ecosystem and Partnerships at Databricks, commented, “Customers want to run analytics on their data using the tools they already have. Databricks is committed to open and interoperable data access for analytics and AI, and Unity Catalog enables this by providing a unified governance layer for formats like Apache Iceberg. We are pleased that the integration of Oracle Autonomous AI Lakehouse with Unity Catalog allows our joint customers to seamlessly utilize their data and offers the flexibility to use both Oracle Corporation and Databricks together.”

solidkjy@fnnews.com Gu Ja-yoon Reporter