Oracle launches autonomous AI lakehouse for multi-cloud data access

Published 14/10/2025, 13:14
Oracle launches autonomous AI lakehouse for multi-cloud data access

LAS VEGAS - Oracle (NYSE:ORCL), whose stock has surged an impressive 129% over the past six months and commands a market capitalization of $878 billion, unveiled its Autonomous AI Lakehouse on Tuesday, combining Oracle Autonomous AI Database with Apache Iceberg to create an open data platform that works across multiple cloud environments.

The new offering, announced at Oracle AI World, is now available on Oracle Cloud Infrastructure, AWS, Microsoft Azure, Google Cloud, and Exadata Cloud@Customer, allowing organizations to access and analyze data without moving it between platforms. The company’s innovative solutions have helped drive its robust revenue growth of 9.67% over the last twelve months to $59 billion.

Oracle’s Autonomous AI Lakehouse provides native support for Apache Iceberg, enabling integration with catalogs including Databricks Unity, AWS Glue, and Snowflake Polaris. The platform includes capabilities such as Select AI for natural language-to-SQL transformation, along with JSON-Relational Duality, Property Graph Analytics, and AI Vector Search.

"With Oracle Autonomous AI Lakehouse, we are offering customers a lakehouse platform without compromise by combining the highly trusted and industry-hardened Autonomous AI Database with the openness of Apache Iceberg," said Çetin Özbütün, executive vice president of Autonomous Database Technologies at Oracle.

Oracle also introduced Autonomous AI Database Catalog, described as a "catalog of catalogs" that unifies enterprise data and metadata across platforms to simplify discovery and access.

Additionally, the company unveiled Data Lake Accelerator, which dynamically scales network and compute capacity for large-scale queries across Iceberg tables, charging only for resources used.

Stephen Orban, senior vice president of Product Ecosystem & Partnerships at Databricks, welcomed the integration with Unity Catalog, noting it would give joint customers "seamless access to their data and the flexibility to use Oracle and Databricks together."

Key features of the platform include plug-and-play SQL access, Exadata Table Cache for improved query performance, GoldenGate for Iceberg for real-time data streaming, and Table Hyperlink for secure data sharing.

The announcement was made based on a press release issued by Oracle (NYSE:ORCL) at its AI World event. According to InvestingPro, Oracle maintains a "GOOD" financial health score, though it currently trades at a premium to its Fair Value. Investors seeking deeper insights into Oracle’s financial metrics, growth potential, and 18 additional ProTips can access the comprehensive Pro Research Report, available exclusively to InvestingPro subscribers.

In other recent news, Oracle has introduced its AI Factory, a suite of services aimed at helping customers and partners implement artificial intelligence solutions more effectively. This initiative is part of Oracle’s broader strategy to enhance AI adoption across its cloud applications. Concurrently, Fitch Ratings has affirmed Oracle’s Long-Term Issuer Default Rating at ’BBB’ with a Stable outlook, acknowledging the company’s substantial investments in AI compute infrastructure. These investments, linked to long-term contracts with major clients such as OpenAI and Meta, are expected to surpass Oracle’s internal free cash flow in the near future.

Additionally, Oracle has partnered with Duality Technologies to offer a secure data collaboration platform available on Oracle Cloud Marketplace. This platform is designed to facilitate secure data exchanges for government, defense, and intelligence sectors without compromising sensitive information. In line with expanding its defense capabilities, Oracle has also added ten new companies to its Oracle Defense Ecosystem, which focuses on technological innovation in defense and national security. These developments highlight Oracle’s ongoing efforts to strengthen its position in AI and defense sectors.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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