TLDR: Oracle is significantly expanding its AI and multi-cloud capabilities across Australia and New Zealand (ANZ) through a new strategic partnership with Google Cloud. This collaboration introduces ‘Oracle Database@Google Cloud’ in Australia, enabling customers to combine Oracle’s high-performance AI Database with Google Cloud’s AI and analytics services, addressing data residency and accelerating IT modernization. The initiative is supported by global partners investing over $1.5 billion in Oracle’s AI Data Platform.
Oracle has announced a major expansion of its artificial intelligence (AI), multi-cloud, and local partnership strategies across Australia and New Zealand (ANZ), highlighted by the launch of ‘Oracle Database@Google Cloud’ in Australia. This new offering, initially available through Google Cloud’s Melbourne data center, allows Australian customers to leverage the Oracle Exadata Database Service on dedicated infrastructure within a Google Cloud region. The service is designed to seamlessly integrate Oracle’s powerful AI Database with Google Cloud’s Gemini models and Vertex AI platforms, providing enhanced analytics and AI productivity while ensuring local data residency compliance.
Stephen Bovis, Oracle’s regional managing director for Australia and New Zealand, emphasized the strong customer demand for multi-cloud solutions, stating that this collaboration empowers joint customers to combine Oracle’s high-performance AI Database with Google Cloud’s native AI and analytics services to accelerate innovation. Paul Migliorini, Google Cloud’s VP for Australia and New Zealand, echoed this sentiment, highlighting that the partnership will help customers rapidly advance their cloud journey, unlock new AI-driven innovation, and thrive in a multi-cloud environment.
The ‘Oracle Database@Google Cloud’ service will initially offer Oracle Exadata Database Service on Dedicated Infrastructure, supporting Oracle Exadata X11M and Oracle Real Application Clusters (RAC) for significant performance improvements across AI, analytics, and online transaction processing. It also includes Oracle AI Database 26ai, the latest version featuring Oracle AI Vector Search and JSON Relational Duality Views, simplifying AI integration with data and enabling secure search across structured and unstructured data without duplication.
An industry-first reseller program has also been introduced, allowing Google Cloud and Oracle partners in Australia to purchase ‘Oracle Database@Google Cloud’ via the Google Cloud Marketplace. This enables partners to resell the service and integrate it into solutions for multi-cloud and IT modernization initiatives, leveraging their existing investments in Google Cloud commitments. Accenture, a strategic partner to both companies, confirmed its participation, with Matt Coates, Technology Lead for ANZ, noting the opportunity to deliver more integrated, data-driven solutions as organizations accelerate their multi-cloud strategies.
This regional expansion is part of a broader global strategy by Oracle, where partners have collectively pledged over $1.5 billion in new investments to back Oracle’s AI Data Platform. This platform, now generally available, unifies the AI lifecycle from ingestion to inference, connecting generative models with enterprise data, applications, and workflows. It combines Oracle Cloud Infrastructure, Autonomous AI Database, and OCI Generative AI to facilitate agentic applications, offering embedded intelligence for business users and a robust environment for developers.
Oracle’s distributed cloud strategy further supports this, offering public, dedicated, hybrid, and multi-cloud options, with OCI physically deployed within major hyperscale cloud providers like AWS, Google Cloud, and Microsoft Azure. This ensures low-latency, natively integrated Oracle AI Database services and interconnectivity across clouds.
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IDC Asia/Pacific Research Director Daphne Chung noted the shift away from single cloud providers, emphasizing the value organizations place on flexibility and scale in multi-cloud databases. She highlighted the significance of connecting powerful AI models directly to existing data, offering customers genuine choice and unlocking new value from the cloud.
