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At Oracle’s recent AI World event in Las Vegas, the company put its vision for open, intelligent data architecture in the spotlight — unveiling a next-generation evolution of its core database technology. Oracle Corp.’s Autonomous AI Lakehouse represents a major step in the company’s effort to merge its long-standing strengths in enterprise data performance with a new era of interoperability. By combining Oracle’s Autonomous Database capabilities with the open table format of Apache Iceberg, the platform aims to deliver an interoperable foundation for analytics that spans every major cloud, according to Çetin Özbütün (pictured, right), executive vice president of autonomous AI database technologies at Oracle. “By being open, not dependent on any single vendor, customers can discover and access data wherever it is, across data platforms and across clouds,” he said. “Our goal is to deliver a data platform without compromises, the full functionality of Oracle’s database technology with the openness of Apache Iceberg.” Özbütün spoke with theCUBE’s Dave Vellante during an exclusive conversation with theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how the Autonomous AI Lakehouse is redefining enterprise data management with openness, intelligence and multicloud flexibility. (* Disclosure below.) An Autonomous AI Lakehouse without compromises By eliminating vendor lock-in and connecting data across disparate systems, Oracle is positioning the Lakehouse as a unified, “no-compromise” data platform. Running on the same Exadata infrastructure that powers its core database engine — which processes more than 48 billion queries per hour — the system integrates tightly with Iceberg to give enterprises both scale and freedom, according to Özbütün. “Our Autonomous AI Database is the fully managed version of the Oracle AI Database,” he said. “It eliminates human error and handles over 48 billion queries per hour. That is the power that we’re making available to Iceberg tables, and very importantly, it runs on every cloud.” Interoperability has long been central to Oracle’s design philosophy. From running on diverse operating systems in the early days to now enabling cross-cloud data collaboration, Oracle’s evolution underscores a consistent theme of customer choice, Özbütün explained. This open design enables businesses to leverage Oracle’s database engine while avoiding vendor lock-in. It also brings the full functionality of the Oracle Database — such as graph analytics, vector search and integrated data management — to Iceberg tables, ensuring both innovation and compatibility across the ecosystem. “It allows customers to use a single database optimized for all work nodes and data formats,” Özbütün noted. “[There’s] no need to purchase, integrate or manage many specialty databases and deal with these data silos, etc. You can scale up your databases, scale down according to your actual needs, not via a rigid fixed-size instance.” Here’s theCUBE’s complete video interview with Çetin Özbütün to hear how Oracle is building an open, intelligent data foundation for AI: (* Disclosure: Oracle Corp. sponsored this segment of theCUBE. Neither Oracle nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.) Photo: SiliconANGLE
