TLDR: Oracle Cloud has launched its new Globally Distributed Exadata Database on Exascale Infrastructure, a serverless service designed to handle demanding agentic AI, real-time analytics, and high-volume transactional workloads across diverse cloud regions. This offering aims to provide extreme availability, performance, and data residency compliance for global enterprises.
Oracle Cloud has announced the general availability of its groundbreaking Oracle Globally Distributed Exadata Database on Exascale Infrastructure, a significant advancement aimed at simplifying the deployment and management of mission-critical applications and cutting-edge agentic AI workloads across its global cloud regions. This fully managed, serverless database service is engineered to address the complexities of distributed data, ensuring high availability, peak performance, and adherence to data residency requirements worldwide.
The new service is built upon Oracle’s robust Exadata technology and leverages Exascale Infrastructure, offering a singular operating experience even as workloads and their underlying infrastructure are geographically dispersed. A core feature is its automated data distribution and synchronization capabilities across multiple sites, which ensures continuous operation even during regional outages. This is achieved through built-in Raft replication, a consensus protocol that maintains data consistency and enables zero data loss failover across different locations.
According to Wei Hu, Senior Vice President of Development for High Availability and Emerging Technologies at Oracle, “Agentic AI workloads actually drive demand for these hyperscale systems. They can place immense demands on backend systems.” The service is specifically designed to meet these demands, offering petabyte-scale AI and analytics capabilities that allow users to run long-duration AI and analytics jobs on real-time streaming data, processing millions of records per second. It also provides hyperscale Online Transaction Processing (OLTP) to support millions of transactions per second with petabyte-scale data and near-instant response times, crucial for AI applications like real-time image recognition and online marketing.
Holger Mueller, Vice President and Principal Analyst at Constellation Research, commented that the service’s combination of distributed architecture and Exadata performance could be a “game changer” for AI workloads, particularly those requiring fast vector processing across multiple locations. He highlighted its hyper-elastic, pay-per-use model as a cost-effective solution for meeting the data locality and resilience needs of global applications.
A key benefit for enterprises is the ability to deploy workloads, including those requiring real-time analytics, transactional capacity, and agentic AI processing, without complex configuration or management tasks. The serverless architecture allows resources to dynamically scale up or down based on fluctuating workloads, providing cost efficiency and clear visibility of operational costs without hidden charges. Furthermore, the service retains the full Oracle Database feature set and SQL interface, meaning existing applications and security policies can be seamlessly migrated into a global setup without major rewrites.
PayPal, a long-standing user of Oracle Exadata, plans to leverage this new service. Akash Guha, Director of Database Engineering at PayPal, stated, “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. 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.”
Also Read:
- KPMG and Oracle Partner to Advance Agentic AI and Enterprise Data Solutions
- Blaxel Pioneers AI-Native Cloud Infrastructure for Billions of Autonomous Agents
This new offering from Oracle aims to overcome barriers related to performance, data sovereignty, cost, and elastic scalability, appealing to a wide range of industries where operational continuity, data compliance, and processing performance are paramount. It empowers CIOs to confidently deploy agentic AI and mission-critical applications globally while adhering to local data residency requirements.
