At its annual AI World conference in Las Vegas (formerly Cloud World), Oracle unveiled three separate projects working with key hyperscalers to better serve its customers.
The updates coincide with the general availability of Oracle Autonomous AI Lakehouse, the company’s new all-in-one platform that combines the scalability and flexibility of a data lake with the management and performance benefits of a data warehouse.
Oracle Autonomous AI Lakehouse integrates AI and machine learning directly into the database, meaning customers can use AI where their data lives instead of having to duplicate it and move it elsewhere.
Oracle is not afraid of multicloud
With hyperscaler collaboration, this means customers can now integrate Oracle AI with their data even if it is stored in Google Cloud, Azure or AWS, keeping them aligned with data residency and compliance requirements.
In addition to offering Oracle Autonomous AI Lakehouse with these partners, Google Cloud also increased the number of regions from five to eight.
Over the next 12 months, Google Cloud has committed to adding nine more regions, Azure five more, and AWS to add 20 new regions for Oracle customers.
Talk with TechRadar Pro At the event, Nathan Thomas, Oracle vice president of product management, highlighted the company’s commitment to enabling customers to place Oracle databases in the cloud of their choice, whether on Oracle Cloud Infrastructure or not.
Oracle’s Database@ products are designed to bring compliant, low-latency multicloud deployments to where customers already run their applications, reducing technical barriers.
“Our customers want flexibility…we recognize that and we offer a multi-cloud environment,” Thomas noted.
Rajan Krishnan, vice president of Oracle Applications, also shared his thoughts on the company’s multicloud strategy with TechRadar Pro at the event, recognizing that customers today are looking not only for multi-cloud, but also multi-AI options where they can bring together the power of different models from different vendors.
Krishnan credited Anthropic’s work on the Model Context Protocol (MCP) for enabling broader interoperability, comparing it to HTTP’s standardization of the web.
In short, the message from AI World 2025 was clear: the future of data is open, flexible and collaborative, and Oracle’s partnerships with companies like these are simply proof that they can coexist in the same space, maintaining their rivalry and their own differentiators while better meeting customer needs.
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