{"slug": "oracle-expands-cloud-customer-with-new-database-service-for-mid-sized-workloads", "title": "Oracle expands Cloud@Customer with new database service for mid-sized workloads", "summary": "Oracle has launched Base Database Cloud@Customer, a managed database service for mid-sized workloads that runs on-premises, enabling enterprises to deploy databases, applications, and AI agents in their own data centers while meeting data residency and low-latency requirements. The offering combines Base Database Service with the Data Infrastructure Cloud@Customer X11 platform, providing up to 60 cores and 660 GB of memory per server, and is aimed at regulated industries such as financial services and healthcare. Analysts say the managed, pay-as-you-go service eliminates overprovisioning and allows AI agents to access private data without exposure to external APIs, addressing a key barrier to AI adoption in regulated environments.", "body_md": "Oracle is expanding its [Cloud@Customer on-premises portfolio](https://www.cio.com/article/649108/oracle-adds-compute-services-to-its-cloudcustomer-offering.html) with a managed database offering that it says will enable enterprises to run databases, applications, and AI agents in their own data centers, helping CIOs modernize mid-sized workloads while meeting data residency, regulatory, and low-latency requirements.\n\nThe hybrid cloud offering, Base Database Cloud@Customer, combines existing database and infrastructure services such as the Base Database Service and Data Infrastructure Cloud@Customer X11 platform. It is designed for enterprises that do not need the scale of Exadata Cloud@Customer but still want their infrastructure and AI capabilities on-premises, managed by Oracle, the company said.\n\nThe Cloud@Customer X11 platform itself consists of two Oracle X11 compute servers and shared all-flash storage, offering up to 60 usable processor cores and 660 GB of memory per server, 47.2 TB of storage, and 10/25 GbE networking.\n\nAnalysts see the new offering filling a gap for enterprises that want the operational and economic benefits of the cloud but cannot send their data to a public cloud because of legal restrictions or technology limitations.\n\nThese enterprises, according to [Ashish Chaturvedi](https://www.hfsresearch.com/team/ashish-chaturvedi/), executive research leader at HFS Research, are likely to be in regulated industries such as financial services, healthcare, government, and defense that must comply with data residency requirements, or needing low-latency access from remote sites to operational databases.\n\nThe offering could also appeal to enterprises modernizing mid-sized workloads at remote locations or within individual business units that could never justify the investment in a [full Exadata rack](https://www.infoworld.com/article/3633997/oracle-offers-price-performance-boost-with-exadata-x11m-update.html), said [Amit Chandak](https://www.linkedin.com/in/amitchandak78/), chief analytics officer at IT consulting firm Kanerika.\n\nIn all cases, Chaturvedi said, the appeal of the offering is its managed nature, which takes away the burden of looking after the underlying infrastructure.\n\nDeployment and maintenance becomes easier too, said [Michael Leone](https://moorinsightsstrategy.com/team/mike-leone/), principal analyst at Moor Strategy and Insights: “They get automation that mid-size teams rarely have the staff to build. Clustering, patching, standby databases, and backups arrive configured instead of hand-assembled because the offering is managed.”\n\nThe economics are equally compelling, Chaturvedi said. The pay-as-you-go pricing model, combined with online compute scaling, helps enterprises avoid overprovisioning and paying license fees for idle cores, which is a “classic waste” of fixed on-premises systems, he said.\n\nBeyond the operational and economic benefits, the architecture of the new offering enables databases, applications, VMs, and AI agents to be collocated on the same platform, removing what Chaturvedi called “the single biggest blocker” to AI adoption in regulated environments: the need to keep private data behind the firewall.\n\n“For a CIO in a regulated sector who wants to deploy AI agents but can’t let regulated data touch an external model API, that’s a real unlock,” Chaturvedi said.\n\nMore so because most AI offerings, at least in their present form and state, cannot guarantee sensitive data protection, said [Igor Ikonnikov](https://www.infotech.com/profiles/igor-ikonnikov), advisory fellow at Info-Tech Research Group.\n\nEven if Base Database Cloud@Customer turns out more expensive than fully cloud-based options, “It’s still attractive as it eliminates reputational and economic risk caused by possible AI-induced data leakage,” Ikonnikov said.\n\nThe offering’s consolidation of databases, applications, and AI agents will also simplify deployment of AI-based workflows, said Forrester principal analyst [Noel Yuhanna](https://www.forrester.com/analyst-bio/noel-yuhanna/BIO852). “It reduces stack complexity and helps accelerate development cycles, deliver real-time data, and eliminate data movement challenges.”\n\nDespite those advantages, Chandak cautioned that the offering is unlikely to see broad adoption outside Oracle’s existing customer base: “If a company isn’t already on Oracle, the pull is weak. You don’t buy into Oracle’s database just to get this.”\n\nEnterprises seeking similar hybrid cloud capabilities have no shortage of alternatives: AWS, Microsoft, Google Cloud, IBM, Dell Technologies, and HPE all offer combinations of on-premises infrastructure, cloud management, and AI services.\n\nHowever, those alternatives typically require customers to integrate multiple software and hardware components rather than consume them as a single managed offering.\n\nOracle’s differentiation, although narrow, is hard to match, Chaturvedi said: “The vertical integration of database, engineered hardware, cloud management, high-availability architecture, and now private AI, all engineered together and delivered as a managed on-prem subscription should be genuinely convenient and attractive.”\n\nThe offering is compatible with Oracle AI Database 26ai and Oracle Database 19c in Enterprise Edition and Standard Edition configurations. It also supports Oracle Real Application Clusters, Oracle Data Guard, and Zero Data Loss Recovery Appliance through Oracle-managed cloud automation for high availability and disaster recovery, the company said.\n\nBase Database Cloud@Customer is now generally available, Oracle said. It did not provide pricing.", "url": "https://wpnews.pro/news/oracle-expands-cloud-customer-with-new-database-service-for-mid-sized-workloads", "canonical_source": "https://www.cio.com/article/4200176/oracle-expands-cloudcustomer-with-new-database-service-for-mid-sized-workloads.html", "published_at": "2026-07-22 17:36:54+00:00", "updated_at": "2026-07-22 17:38:20.689985+00:00", "lang": "en", "topics": ["artificial-intelligence", "ai-infrastructure", "ai-agents", "ai-policy"], "entities": ["Oracle", "Cloud@Customer", "Base Database Cloud@Customer", "Data Infrastructure Cloud@Customer X11", "HFS Research", "Ashish Chaturvedi", "Kanerika", "Amit Chandak"], "alternates": {"html": "https://wpnews.pro/news/oracle-expands-cloud-customer-with-new-database-service-for-mid-sized-workloads", "markdown": "https://wpnews.pro/news/oracle-expands-cloud-customer-with-new-database-service-for-mid-sized-workloads.md", "text": "https://wpnews.pro/news/oracle-expands-cloud-customer-with-new-database-service-for-mid-sized-workloads.txt", "jsonld": "https://wpnews.pro/news/oracle-expands-cloud-customer-with-new-database-service-for-mid-sized-workloads.jsonld"}}