In a major stride toward enabling global, high-performance, and resilient applications, Oracle has officially launched the Globally Distributed Exadata Database on Exascale Infrastructure. This next-generation service is now generally available and aims to simplify how enterprises deploy distributed, mission-critical applications across Oracle Cloud Infrastructure (OCI) regions worldwide.

With this innovative offering, Oracle has engineered a solution that automatically distributes, stores, and syncs data across multiple global regions. As a result, applications remain fully operational even in the face of regional outages, while also supporting strict data residency requirements a critical factor for organizations operating in regulated industries like healthcare and finance.

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Notably, the service features a flexible, serverless architecture that dynamically adjusts computing resources based on workload demand. This means businesses can scale up or down effortlessly without dealing with complex setup or ongoing management. From real-time analytics to high-volume transactions and agentic AI applications, users benefit from lower operational costs, simplified infrastructure, and seamless global expansion.

Industry leaders have already expressed strong interest. For example, PayPal’s Director of Database Engineering, Akash Guha, stated, “We’ve relied on Oracle Exadata for years to ensure fast responses and mission-critical availability. As we scale globally, Oracle’s new distributed, always-on, serverless architecture with Raft replication will help us enhance application performance, reduce costs, and boost resilience.”

Key Benefits for Agentic AI Workloads

This new service offers a suite of features specifically optimized for agentic AI and hyperscale use cases, including:

  • High Performance: Customers can handle vast data volumes and run vector searches with ease, thanks to Exascale’s elastic scalability.
  • Mission-Critical Availability: Leveraging Raft replication and fault-tolerant architecture, the service ensures uninterrupted operations even during data center or regional outages.
  • Data Residency Compliance: With built-in tools for automated data distribution, users can meet global data storage regulations more easily.
  • Cost Efficiency: The serverless, hyperscale model allows customers to pay only for the resources they use, making it ideal for workloads that vary in intensity.

According to Wei Hu, Oracle’s SVP of High Availability Technologies, “Managing distributed databases has traditionally involved high complexity and costs. With our new service, businesses of any size can meet demanding requirements without sacrificing budget or performance. We are bringing mission-critical distributed databases to everyone.”

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Designed for Global, Demanding Workloads

This globally distributed solution supports the full breadth of Oracle Database and SQL capabilities, eliminating the need for extensive application rewrites when scaling to multiple regions. Additionally, the architecture supports:

  • Always-On Databases: Ideal for use cases like payment systems and e-commerce, with active-active-active deployment across data centers.
  • Local Data Control: Businesses can enforce data residency by directing where data is stored essential for regions with strict compliance requirements.
  • Improved User Experience: By storing data closer to users in regional OCI data centers, applications gain faster response times, which is vital for sectors like entertainment, retail, and telecom.
  • Petabyte-Scale AI Analytics: The platform can process millions of records per second, making it perfect for data-intensive industries such as manufacturing and utilities.
  • Hyperscale OLTP: Oracle enables enterprises to run millions of transactions per second with low latency, meeting the needs of real-time AI, marketing, and image recognition tasks.

Finally, Holger Mueller of Constellation Research emphasized that this solution is purpose-built for the age of agentic AI. “With its global architecture, Exadata’s extreme performance, and flexible pricing, CIOs can now confidently deploy scalable, AI-driven applications that meet performance and regulatory demands.”

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