Oracle has introduced Oracle Autonomous AI Lakehouse, an open interoperable data platform that allows enterprises to break down analytic silos and accelerate how teams build AI and analytics solutions. Oracle Autonomous AI Lakehouse combines Oracle Autonomous AI Database with vendor-independent Apache Iceberg, enabling customers to run AI and analytics securely on all their data anywhere. It is now generally available on OCI, AWS, Microsoft Azure, Google Cloud, and Oracle Exadata Cloud@Customer.

Key benefits of Autonomous AI Lakehouse include:

  • Open and interoperable: Autonomous AI Lakehouse has complete support for Iceberg tables and offers choice of cloud platforms. You can deploy Autonomous AI Lakehouse on AWS, Azure, Google Cloud, or OCI and connect to Iceberg tables on Databricks, Snowflake, or any other platform.
  • Access data anywhere: Autonomous AI Database Catalog—a “catalog of catalogs”—unifies enterprise data and metadata from other catalogs and platforms—to simplify data discovery and access across multiple data platforms and clouds.
  • Lakehouse without compromises: With Autonomous AI Lakehouse, organizations can take advantage of the openness of Iceberg and combine it with the performance, reliability, and trust of an Oracle AI Database. It is also the ideal platform for organizations to incrementally evolve their on-premises data warehouse into a lakehouse and adopt Iceberg.
  • AI-powered operations: Autonomous AI Database provides Iceberg table access to every Oracle Database, both on-premises and in the cloud, regardless of the workload. This unique integration enables organizations to uncover insights hidden in Iceberg datasets and integrate them into their core operational systems using built-in AI and analytics.

For more, read the press release. 

What industry experts are saying 

Commenting on the announcement, leading industry analysts stated the following: 

HyperFRAME Research

“The days of trade-offs between enterprise-grade scalability and open source flexibility are over. Oracle’ s support for Apache Iceberg with Autonomous AI Lakehouse means organizations get cutting-edge AI, high octane analytics, and secure, open access—all in one shot—on the hyperscaler cloud of their choice. By wrapping a ‘catalog of catalogs’ around Iceberg and its Autonomous AI Database, Oracle is making it radically simpler for teams to discover, secure, and leverage data everywhere. It’s a game-changer for breaking down barriers in today’s fragmented data landscape.”

—Ron Westfall, VP, Practice Lead, Networking and Infrastructure, HyperFRAME Research 

 

Constellation Research 

“What if you could do AI the other way around? What if you could have access to all the data and information that you need to have available for AI—including your transactional data? It’s that type of data gravity that makes Oracle Autonomous AI Lakehouse a highly valuable proposition for enterprises worldwide. With the majority of the world’s critical business data stored in Oracle databases—transactional, analytical, spatial, graph, time series and more—extending the capabilities of Autonomous AI Database to support Apache Iceberg tables brings in even more data into the core of the data foundation for enterprise AI. Oracle has always supported open standards and the release of Autonomous AI Lakehouse should be on the short list of CxOs everywhere.”

—Holger Mueller, Vice President and Principal Analyst

 

theCUBEresearch 

“In one word, it’s brilliant. By integrating Apache Iceberg into Autonomous AI Lakehouse and extending it across all major clouds and Exadata Cloud@Customer, Oracle is moving decisively forward with an open, cross-platform architecture that gives enterprise AI developers the power they require to deliver transformative applications.”

—David Floyer, CTO

 

DBMSGuru

“CIOs are faced with trying to bring all of their data together for AI and analytic applications. Moving all of their data to a cloud platform would be a massive, time consuming, and error-prone effort, especially given the changeable nature of the data. A better option is to build a lakehouse, but this still requires spending time searching through potentially hundreds of data sources to find the right data; data that needs to be classified and accessible. Oracle Autonomous AI Lakehouse addresses this challenge with an innovative solution. It combines Oracle Autonomous AI Database with Apache Iceberg, giving users data deployment flexibility with access to any Iceberg table anywhere. But what about the classification challenge? Here is the big news on that front: it adds a catalog of catalogs that unifies enterprise data and metadata from other catalogs and platforms to simplify data discovery and access across multiple data platforms and clouds. Best of all, Autonomous AI Lakehouse is available on all hyperscalers—AWS, Azure, Google Cloud, and OCI—wherever customers’ data resides—bringing the data lakehouse to the data.”

—Carl Olofson, Principal Analyst

 

theCUBEresearch 

“Data lakehouses have become a critical part of GenAI LLMs. But users have been faced with an unpalatable choice. They can move all their data into closed but performant and proprietary architectures or use open-source options like Iceberg. Oracle’s Autonomous AI Lakehouse brilliantly solves this problem by providing the best of all worlds. By integrating the AI performance, simplicity, availability, functionality, flexibility, and security that Oracle is known for, with the open standards of Iceberg and other lakehouse data catalogs, users now have the ideal data Lakehouse—in the cloud of their choice, OCI, AWS, Azure or Google.”

—Marc Staimer, Sr. Contributor

 

NAND Research

“Oracle Autonomous AI Lakehouse is a true game changer. It lets customers bring AI to where to their data lives—operational or analytic, any cloud or on-prem. Enterprises want AI without lock-in and Oracle’s open table format strategy with Iceberg, combined with Autonomous AI Lakehouse, offers a powerful path to data portability that many rivals will struggle to match. It’s a hugely compelling alternative to closed ecosystems and brittle integrations.”

—Steve McDowell, Principal Analyst & Founder

 

dbInsight

“Oracle is embracing the lakehouse by making it integral to the core database. If you use Autonomous AI Lakehouse, which is based on Oracle AI Database 26ai, you will get the best of both worlds with the performance of Oracle AI Database and access to data stored in Apache Iceberg open table formats without requiring any upgrade. And through Oracle’s new master catalog, you will be able to directly query data governed by popular third party catalogs such as AWS Glue, Databricks Unity, Snowflake Polaris and others.”

—Tony Baer, Principal

 

Moor Insights & Strategy

“Ensuring seamless data interoperability is critical for enterprise organizations navigating increasingly complex, multicloud environments. With Oracle’s Autonomous AI Lakehouse unifying data access and governance through a comprehensive catalog, enterprises can streamline data discovery, strengthen security, and accelerate analytics initiatives. This level of integration positions organizations to break down traditional silos, maximize the value of their data assets, and respond more effectively to new business opportunities and regulatory requirements—key factors for staying competitive in a data-driven marketplace.”

—Matt Kimball, Vice President & Principal Analyst

 

The Futurum Group

“Autonomous AI Lakehouse combines Oracle Autonomous AI Database with the Apache Iceberg open table format. With Iceberg, customers gain access to any Iceberg table regardless of location. And with Autonomous AI Database, customers gain performance, end-to-end security, and AI capabilities such as Select AI for natural language-to-SQL transformation and an agentic AI framework. They also benefit from Oracle’s converged database, which incorporates AI Vector Search, JSON Relational Duality Views, Property Graph Analytics. All of these features are available for processing data on Iceberg tables. What makes this all come together from a customer perspective is the Autonomous AI Database Catalog, a ‘catalog of catalogs’ that unifies enterprise data and metadata from other catalogs and platforms to simplify data discovery and access across multiple data platforms and clouds. This is a powerful solution from Oracle that enables customers to avoid functionality trade-offs and break down the data silos between analytic systems.”

—Bradley Shimmin, Vice President & Practice Lead, Data Intelligence, Analytics & Infrastructure

 

Omdia

“Multicloud without compromise matters. Oracle’s approach with Autonomous AI Lakehouse brings AI to where the data already lives, avoiding the data gravity tax that hampers lift-and-shift AI strategies. Plus, Oracle’s ‘AI for Data’ vision is execution-led: AI for ops, dev, apps, analytics, and vector search in one platform. Essentially, Autonomous AI Lakehouse is a market signal: enterprise scalability, security, and speed can now coexist in AI platforms—meaning the bar just went up for anyone offering piecemeal AI services.”

—Stephen Catanzano, Senior Analyst

 

For more information