Oracle Helps Customers Achieve Extreme Availability and Performance for Mission-Critical and Agentic AI Applications

Rhea-AI Summary

Oracle (NYSE:ORCL) has announced the general availability of Oracle Globally Distributed Exadata Database on Exascale Infrastructure, a new cloud service designed to enhance mission-critical application deployment across OCI regions worldwide. The service features automated data distribution, serverless architecture, and dynamic scaling capabilities.

The solution specifically addresses agentic AI workload requirements through high performance vector search, mission-critical availability with Raft replication, and data residency compliance. PayPal, a notable customer, plans to implement the service to enhance their global operations. The platform enables Active/Active/Active architecture across multiple data centers and supports petabyte-scale AI processing with the ability to handle millions of transactions per second.

Insights

Enterprise Technology Analyst

Oracle's new distributed database service enables global mission-critical applications with superior availability and performance for AI workloads.

Oracle's newly released Globally Distributed Exadata Database on Exascale Infrastructure represents a significant advancement in cloud database architecture designed specifically for mission-critical applications with global distribution requirements. The serverless architecture automatically handles data distribution across multiple OCI regions, addressing three critical enterprise needs: extreme availability, data sovereignty compliance, and performance optimization through geographic proximity.

The technology leverages Raft replication to maintain data consistency across globally distributed nodes, enabling true Active/Active/Active configurations that remain operational even during regional outages. This eliminates the traditional trade-off between global distribution and consistency that has plagued distributed database deployments.

What sets this offering apart is the combination of hyperscale elasticity with Oracle's established Exadata performance. The service can dynamically scale resources up or down based on workload demands—particularly valuable for agentic AI applications with unpredictable resource requirements. This elasticity directly addresses the cost inefficiencies of over-provisioning that typically plague globally distributed systems.

For enterprises deploying AI applications, the platform offers integrated vector processing capabilities across distributed data stores, which solves a fundamental challenge in building globally available AI systems while maintaining data residency compliance. The automated data distribution policies allow organizations to precisely control where specific data resides without complex custom coding.

PayPal's testimonial highlights the real-world value proposition: maintaining mission-critical database performance while expanding globally and addressing increasing regulatory complexity around data sovereignty. The announcement signals Oracle's strategic positioning at the intersection of three critical enterprise needs: AI infrastructure, global distribution, and regulatory compliance.

AI Systems Architect

Oracle's new distributed database infrastructure addresses critical bottlenecks in deploying agentic AI systems at scale. The architecture solves three fundamental challenges that have limited enterprise AI deployment: data sovereignty conflicts, performance degradation across regions, and cost management for fluctuating workloads.

The vector search capabilities are particularly significant for AI applications. Modern large language models and multimodal AI systems operate on vector embeddings that must be efficiently searched across massive datasets. By extending Exascale's elastic scalability to handle vector operations across distributed nodes, Oracle enables real-time AI applications that maintain performance regardless of user location.

The serverless architecture is crucial for agentic AI workloads, which exhibit highly variable compute patterns. Traditional fixed-resource allocations result in either performance bottlenecks during peak usage or wasted resources during idle periods. The dynamic scaling capabilities directly address this inefficiency by automatically adjusting resources based on actual utilization.

The Raft replication implementation is especially valuable for maintaining consistency across distributed AI systems. Agentic AI applications require strong consistency guarantees when multiple agents might be working with the same data simultaneously across different regions. The Active/Active/Active configuration ensures that AI systems can operate on consistent data regardless of entry point.

What makes this offering particularly noteworthy is that it requires no major application rewrites to distribute databases globally. By supporting the full capabilities of Oracle Database and SQL across distributed nodes, organizations can leverage existing application architectures while gaining global scale—significantly reducing the adoption barrier for enterprises with established systems.

With Oracle Globally Distributed Exadata Database on Exascale Infrastructure, customers can run distributed workloads of all types, including agentic AI, analytics, and transactional while lowering costs

Transparent access to data and the industry's broadest set of data distribution policies help customers address data sovereignty and performance requirements

AUSTIN, Texas, Aug. 7, 2025 /PRNewswire/ -- Oracle today announced the general availability of Oracle Globally Distributed Exadata Database on Exascale Infrastructure, designed to simplify the deployment of distributed mission-critical applications across Oracle Cloud Infrastructure (OCI) regions worldwide. This new service automatically distributes, stores, and synchronizes data across multiple locations, enabling applications to remain online even during regional outages and helping businesses address data residency requirements.

With a flexible, serverless architecture, the service can dynamically scale up or down to meet the needs of changing workloads—without complex setup or management. Customers with real-time analytics, high-volume transaction processing, and variable agentic AI workloads gain the benefits of an always-on architecture, lower costs, simplified operations, and the ability to expand globally with confidence.

"Providing exceptional customer satisfaction is important to PayPal, so we've been using Oracle Exadata for many years to provide lightning-fast response times and mission-critical availability," said Akash Guha, director of database engineering, PayPal. "As our global business grows, we plan to provide even faster responses by using distributed solutions that are integrated with our core systems of record to provide extreme availability and performance. We look forward to using Oracle Globally Distributed Exadata Database on Exascale Infrastructure's always-on, serverless architecture with built-in Raft replication to accelerate responses, enable greater application resilience, and lower costs with scalable resources."

Globally Distributed Exadata Database on Exascale Infrastructure helps customers meet the demanding requirements for agentic AI workloads, including:

• High performance: Allows customers to handle high-volume workloads and vector search across massive data sets by extending Exascale's elastic scalability.
• Mission-critical availability: Enables customers to maintain always-on operations and fast zero data loss failover across data centers and regional outages by leveraging Raft replication and Exascale's fault-tolerant architecture.
• Data residency: Helps customers address data residency concerns for storing, accessing, and processing AI vectors and business data with easy-to-use automated data distribution methods.
• Cost-efficiency: Helps customers cost-effectively meet fluctuating demands from agentic AI workloads driven by end-user interactions with a hyperscale, serverless architecture that can be dynamically scaled up and down, as required.

"Customers often struggle to deploy and manage distributed databases due to the high cost and complexity involved in operating large numbers of servers across multiple data centers and regions," said Wei Hu, senior vice president, High Availability Technologies, Oracle. "Oracle Globally Distributed Exadata Database on Exascale Infrastructure's serverless architecture enables customers of all sizes to meet their diverse requirements at a low cost. Today, we are providing a mission-critical distributed database to the masses."

This service delivers a consistent and efficient database experience globally, making it ideal for customers that operate across multiple geographies. Furthermore, because this service supports the full capabilities of Oracle Database and SQL, customers can distribute their databases across multiple locations without major application rewrites.

Customers benefit from a unique data architecture designed to support demanding workloads requiring:

• 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.

"In the age of AI, especially agentic AI, customers need a new approach to allow for vector processing across distributed global applications," said Holger Mueller, vice president and principal analyst, Constellation Research. "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."

Additional Resources

• Read the technical blog
• Register for the Oracle Globally Distributed Exadata Database on Exascale Infrastructure webinar
• Learn more about Oracle Globally Distributed Database
• Learn more about Exadata Exascale

About Oracle
Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.

Trademarks
Oracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company—ushering in the new era of cloud computing.

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SOURCE Oracle

FAQ

What are the key features of Oracle's new Globally Distributed Exadata Database on Exascale Infrastructure?

The key features include serverless architecture, automated data distribution, dynamic scaling, support for agentic AI workloads, and Active/Active/Active architecture across multiple data centers with Raft replication.

How does Oracle's new database service handle agentic AI workloads?

The service handles agentic AI workloads through high-performance vector search, elastic scalability, fault-tolerant architecture, and the ability to process millions of transactions per second with petabyte-scale data capabilities.

What benefits does Oracle's new database service offer for global businesses?

It offers automated data distribution, improved data residency compliance, reduced operational costs through serverless architecture, extreme availability across regions, and the ability to store data closest to users for better performance.

How does PayPal plan to use Oracle's new database service?

PayPal plans to use the service to provide faster response times and enhance application resilience through the always-on serverless architecture with built-in Raft replication, while lowering costs with scalable resources.

What data residency features does Oracle's new database service provide?

The service provides automated data distribution policies to place data across OCI data centers worldwide, helping companies comply with local data residency requirements in regulated industries like financial services and healthcare.