Organizations running agentic AI and mission critical applications across the globe are facing multiple challenges: meeting regulatory requirements for data residency, providing always-on availability and extreme performance, while handling multiple petabytes of data and having to stay within shrinking budgets.

With the general availability of Oracle Globally Distributed Exadata Database on Exascale Infrastructure, organizations now have an affordable, managed service with consumption-based pricing that helps address these challenges. This new service is available in OCI regions around the world.

What does Globally Distributed Exadata Database on Exascale Infrastructure mean for you?

Here are some of the ways that leading industry analysts from around the world think organizations can benefit from and achieve their goals with Oracle Globally Distributed Exadata Database on Exascale Infrastructure.

“In the age of AI, especially agentic AI, customers need a new approach to allow for vector processing across distributed global applications. Oracle Globally Distributed Exadata Database on Exascale Infrastructure incorporates Exadata’s extreme performance for AI processing and availability for the core back-end systems that implement agent-initiated tasks while Exascale’s hyper-elastic and pay-per-use capabilities makes it very cost-effective. With this service from Oracle, CIOs can confidently deploy agentic AI and mission-critical applications globally and meet local data residency requirements.”

 —Holger Mueller, Vice President and Principal Analyst, Constellation Research

“For organizations to be successful with agentic AI, they need a nearly infinite data platform architecture that helps support data residency, and Oracle has delivered that with its latest release. Oracle Globally Distributed Exadata Database on Exascale Infrastructure leverages Exadata’s exceptional high availability and AI processing performance to support critical back-end systems executing agent-generated tasks. AI and Agents will be distributed, so your data must also be. At the same time, Exascale’s hyper-elastic technology with pay-per-use capabilities ensures that cost efficiency is very compelling. This is a game changer for organizations looking for the latest in distributed database technology.”

—Rob Strechay, Managing Director & Principal Analyst, theCUBE Research

“Oracle ups the ante with distributed, active-active databases. Formerly the domain of highly specialized databases (e.g., Cockroach Labs, Yugabyte, Google Cloud Spanner) that only supported partial SQL, Oracle’s new cloud-based service, based on Exadata, provides full SQL, not to mention multimodal data and AI/vector support features of the flagship “converged” database.”

—Tony Baer, Principal, dbInsight

“Oracle Globally Distributed Exadata Database on Exascale Infrastructure is essential for agentic AI because it provides the scalable, secure, and resilient data foundation needed to enable autonomous agents to operate across regions while helping to meet data residency requirements. By combining Exascale’s hyper-elastic scalability and extreme performance with the capabilities of the Globally Distributed Database, organizations can seamlessly support dynamic, high-performance AI workloads on a global scale—all at a very attractive price point.”

—Steve McDowell, Chief Analyst, NAND Research

“Distributed databases are not new: Oracle has provided native sharding since 2017. What’s new is the combination of global scalability, regulatory compliance, and AI-readiness in a single fully converged database. With the Globally Distributed Exadata Database on Exascale Infrastructure, Oracle quite literally brings distributed data to the global scale. This builds on Oracle Database 23ai with massive scale-out, global consistency, and enterprise-grade reliability. The platform processes agentic AI workloads securely and cost-effectively, meets strict data residency requirements, and still provides a unified global view. Whether it’s real-time image recognition at border controls, fraud detection for financial services, or personalized recommendations in e-commerce, Oracle now delivers these capabilities in a form factor accessible to organizations of all sizes, without rewriting applications or sacrificing performance.”

—Alexei Balaganski, CTO and Lead Analyst, KuppingerCole Analysts

“Other distributed database vendors started with NoSQL engines to get to market fast, but now have to retrofit SQL on top as well as scale-out architectures. This means lots of work to refactor applications to run on these databases and still not achieve the expected performance or availability. In contrast, Oracle started from its established, parallel clustered RAC SQL engine and partitioning to also support distributed scale-out. Now, Oracle is going further beyond competitors with Globally Distributed Exadata Database on Exascale Infrastructure. This new service adds Raft replication for ultra-high availability and runs on Exascale elastic, pay-as-you-go, cost effective infrastructure. With this new service, customers can run AI, OLTP, and petabyte-scale analytics in one distributed database, instead of using multiple single-purpose databases. It’s simpler, more powerful, and avoids expensive ETL. When it comes to distributed databases, Oracle is clearly generations ahead of the competition, in this area—and it’s hard to say if they will ever catch up.”

—Stephen Catanzano, Senior Analyst, Data Management, Enterprise Strategy Group

“Oracle Globally Distributed Exadata Database on Exascale Infrastructure brings advanced technologies to the distributed database market that are certain to upend the competition. This includes three replication methods, including Raft-based replication, designed to meet the requirements for always-on databases. For data distribution, Oracle offers six methods, enabling apps to optimally collocate data for low latency, regulatory compliance, and other specific needs. In contrast, some other vendors only support only one. In this new offering, the icing on the cake is Exascale providing a low-cost entry point which should be attractive to smaller organizations. Clearly, only Oracle has the combination of proven technologies to deliver an enterprise-class distributed database—and as a result, Oracle continues to leave the competition behind.”

—Ron Westfall, Analyst-in-Residence, HyperFRAME Research

“With the advent of Globally Distributed Exadata Database on Exascale Infrastructure, Oracle is delivering several advantages that are unique in the industry. This is a fundamentally sound, innovative approach that Oracle has successfully implemented on a massive scale. Add in the ability to run AI Vector Search across huge data sets and agent parallelism to handle high-volume end-user interactions, and you have a winning formula to address the rise of agentic AI.”

—Richard Winter, CEO, WinterCorp

“Oracle Globally Distributed Exadata Database on Exascale Infrastructure has made the world’s best enterprise-class distributed database technology running AI available and just as importantly, affordable to any size organization. Because this combination delivers near-infinite independent scalability of compute and storage from the very small to mind-boggling huge on a consumption basis, it is affordable for even the smallest of IT organizations. And with AI top of mind today, this new service enables always-on AI applications, parallelizes queries to handle high-volume end-user interactions, elastically scales to meet variable agentic aI workloads, and helps address data residency concerns by enforcing access and process residency requirements while presenting a globally consistent view. It clearly extends Oracle’s reach in the distributed database market via a cost-effective service that delivers immense value for customers.”

—Marc Staimer, President, DSC and Senior Contributor to theCUBE Research

“Agentic AI has presented a challenge for IT organizations of all sizes. As AI agents—digital workers—become more widespread, distributed transactions will increase as well. This dynamic underscores the need for extremely scalable and highly available distributed database environments that support multiple data distribution and replication methods to assure performance and availability. Oracle Globally Distributed Exadata Database on Exascale Infrastructure addresses the challenges of both scale and secure data residency. When looking at Oracle’s new service in context of its larger AI strategy, it is clear the company has positioned itself to be the AI data management platform for all organizations—from the largest enterprise organizations to the digital native startups.”

—Matt Kimball, Vice President and Principal Analyst, Moor Insights & Strategy

“Oracle distributed database is a proven product used by the largest organizations in the world to help meet data residency and global data accessibility requirements, and it continues to evolve to meet contemporary customer needs. With the latest version, Oracle Globally Distributed Exadata Database on Exascale Infrastructure, Oracle utilizes Raft operations to ensure data consistency across regions without the need for a single universal clock. Raft enables global replication and synchronized data recovery, and is part of the offering on Exascale. Raft replication meets requirements for always-on applications with instant protection from node failure, availability zone failure, and region failure without any data loss. Meanwhile, Exascale delivers distributed database capability that is affordable to smaller organizations by bringing Exadata-level performance on independently scalable compute and storage nodes with instant elasticity, autoscaling, all on a pay-as-you go model. This new service also provides powerful support for the latest AI capabilities in Oracle Database 23ai, and enables distributed vector and query processing while alleviating the immense demands on backend systems by Agentic AI workflows. These new capabilities, built on a solid distributed database foundation, place Oracle in a strong technical leadership position in the database software market.”

—Carl Olofson, Principal Analyst, DBMSGuru LLC

“As companies seek to implement AI enterprise-wide, going global presents challenges including data residency, availability, and performance. Oracle’s new Globally Distributed Exadata Database on Exascale Infrastructure aims to address these challenges—and to do so cost-effectively. Oracle’s distributed database automatically distributes data and helps customers keep assets such as AI data and database queries in required locations, thereby adhering to data location policies. That, along with its low entry cost and ability to scale to extreme levels, makes it ideal for highly variable agentic AI workloads.”

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

Customers benefit from unique distributed database capabilities designed to support demanding workloads

To summarize, customers of all sizes can benefit by running mission-critical and agentic AI workloads on Oracle Globally Distributed Exadata Database on Exascale Infrastructure with:

  • Always-on databases: Enables customers to meet their needs for extreme availability by implementing an Active/Active/Active architecture across multiple data centers using Raft replication to support mission-critical use cases such as payment processing, e-commerce, and stock trading.
  • Data residency: Enables customers to address data residency concerns by leveraging automated data distribution policies to appropriately place data across OCI data centers worldwide—critical in highly regulated industries such as financial services and healthcare.
  • User proximity: Enables customers to improve responsiveness and user satisfaction by storing data in OCI data centers closest to users, which is essential for applications across industries such as entertainment, retail, healthcare, and telecommunications.
  • Petabyte-scale AI and analytics: Enables customers to run long-duration AI and analytics workloads on real-time streaming data by horizontally scaling to ingest and process millions of records per second. This is crucial for data-intensive industries such as manufacturing and utilities.
  • Hyperscale OLTP: Enables customers to scale databases to support millions of transactions per second with petabyte-scale data, elastic capacity, and near-instant response times. This level of performance is critical for agentic AI, real-time image recognition, hyperscale analytics, and online marketing.

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