Today, we’re pleased to announce the general availability of Oracle Database@Google Cloud launching in four Google Cloud regions, including Northern Virginia, Salt Lake City, London, and Frankfurt. We plan to deliver many more regions in the coming months across all our geographies, including North America, EMEA, APAC, and LATAM, more than doubling the count of regions that we currently have live.

As they migrate and modernize their workloads and applications in the cloud, our joint customers want to natively integrate the best-in-class capabilities of Oracle Database services running on Oracle Cloud Infrastructure (OCI) together with Google Cloud services. They need an interoperable framework to build AI-based applications that utilize business data from the two cloud environments with the ability to run their mission critical workloads with the highest performance and availability across these data estates.

Oracle Database@Google Cloud offers OCI’s Oracle Exadata Service and Oracle Autonomous Database running in Google Cloud, so customers can deploy mission-critical database workloads in close proximity to their users, reducing latency and improving application performance. In addition, customers can run applications on Oracle Linux, which is supported by Oracle on Google Cloud. Oracle Linux images can be imported using Google Cloud’s virtual disk image import process.

With this joint solution, customers can for the first time run mission-critical Oracle Database workloads using a managed service on Google Cloud and natively access data stored in Oracle databases with the highest possible performance and minimal access latency. With Oracle Database@Google Cloud, organizations can combine industry-leading generative AI capabilities from platforms like Google Cloud’s Vertex AI and Gemini foundation models, with Oracle Database 23ai to create more value by gaining insights faster and delivering differentiated customer experiences.

We’re also making it easier than ever to connect Google Cloud and OCI environments, with a low-latency, secure interconnect and no cross cloud data transfer charges. This interoperability gives customers the flexibility to run workloads where they make the most sense, while maintaining a unified view of their data. This feature is currently available in 11 regions.

“Oracle and Google Cloud have extended their multicloud strategy with this partnership and customers can take advantage of the automation in Oracle Autonomous Database and the performance of Exadata on OCI running in Google datacenters,” said Carl Olofson, research vice president, Data Management Software, IDC. “As a result, customers can combine data from Oracle databases with Google Cloud services like Gemini foundation models and the Vertex AI development platform to develop and run a new generation of cloud native applications. Oracle’s and Google Cloud’s mutual customers are the ultimate winners in this multicloud strategy, as they benefit from the simplicity, security, and low latency of a unified operating environment.”

Key use cases for Oracle Database@Google Cloud

Innovate with AI services natively built into Oracle Database and Google Cloud Services

Integrating Google Cloud’s industry-leading AI platform, including Vertex AI and Gemini foundation models, with Oracle Database 23ai capabilities enables the development of advanced AI applications. As a result, customers can quickly and easily build data applications, while utilizing the existing knowledge base across the two clouds. By combining Google Cloud’s AI leadership with innovative Oracle Database features, such as AI Vector Search, customers have a comprehensive suite of AI tools and services that can let them build sophisticated AI applications with ease, allowing the delivery of highly differentiated applications that can improve customer experiences, increase efficiencies, and set them apart in today's competitive landscape.

Oracle Database@Google Cloud lets customers combine vector search with business data natively inside the Oracle database, so they don’t have to replicate data or create more application logic. Results from these sophisticated queries can be incorporated into retrieval-augmented generation (RAG) applications to provide enhanced context that can improve the accuracy and impact of using Google Cloud’s Gemini foundational models. Because Oracle Database is a converged database, Vertex AI can rapidly access vector, relational, JSON, graph, spatial, text, and other types of data that can be used individually or in concert to generate new insights for everything from fraud detection to quality control in manufacturing.

Simplify migrating mission-critical database workloads to the cloud

Many customers run their mission-critical workloads in enterprise data centers because of concerns over performance, availability, security, or migration complexity and they’re often blocked by having to refactor or rearchitect the database and application tech stack. Oracle Database@Google Cloud addresses many of these concerns by providing full compatibility with on-premises Oracle Database and Exadata platforms combined with easy-to-use Oracle Zero Downtime Migration to effect migrations.

The Exadata platforms that power Autonomous Database and Exadata Database Services in Oracle Database@Google Cloud are equal to those used in OCI data centers, delivering scalable performance that utilizes dozens of optimizations for transaction processing, data warehousing, AI, and database consolidation that aren’t available on other platforms. Applications and services running in Google Cloud have the same low-latency access to Oracle Database services as they do with other Google Cloud resources. This parity enables applications that require rapid responses from databases to run efficiently at scale in Google Cloud.

Organizations in every industry and dozens of countries around the world rely on Oracle Real Application Clusters (RAC) and Exadata to run the most mission-critical applications in their data centers. These technologies protect customer workloads against hardware and software failures and virtually eliminate any downtime for patching and upgrades. Oracle Database@Google Cloud brings the same high availability capabilities to Oracle Database services in Google Cloud as part of a managed database service, which enables customers to continue utilizing operational best practices to protect themselves from downtime. Oracle Database@Google Cloud also helps protect mission-critical data with the fully managed Oracle Database Autonomous Recovery Service which automates database protection and enables fast and predictable recovery to any point in time.

Migrate and modernize Oracle Database workloads running on other CSPs

Organizations that run Oracle Database on other cloud service providers (CSPs) that don’t integrate OCI Oracle Database service in their data centers can’t natively utilize Autonomous Database, Exadata technology, RAC, and run Oracle Database Enterprise Edition as a managed service with consumption-based pricing. In these other clouds, architecting solutions that provide the performance, scale, and availability that customers need for mission-critical applications are complex and costly.

With Oracle Database@Google Cloud, organizations have immediate access to everything they need to continue running their Oracle Database fleet on Google Cloud—Exadata, RAC, scalable consumption, managed services, automated patching, and Autonomous Database. When using Oracle Database@Google Cloud, customers can consolidate tens or hundreds of Oracle databases on a single, cost effective, easy-to-manage service instead of having to run isolated instances on other cloud infrastructures. When these workloads are running in Oracle Database@Google Cloud, customers can modernize their estates using cloud native developer operations (DevOps) and the fully managed Autonomous Database.

Simplify and accelerate modern application development

Customers building modern cloud-native applications use continuous integration and delivery (CI/CD), microservices, and container-based deployments. However, managing and administering database infrastructure, using single-purpose database solutions consumes valuable resources and slows the pace of innovation.

The combination of Google Cloud and Oracle Database services provides a rich set of development tools, frameworks, and services that let customers develop cloud native applications and add AI capabilities to their existing workloads. Oracle Database@Google Cloud is deeply integrated with Google Cloud’s ecosystem, allowing customers to use familiar Google Cloud tools and interfaces to effortlessly provision, manage, and monitor their Oracle databases. This native integration streamlines operations and empowers teams to utilize Google Cloud's robust monitoring, logging, and analytics capabilities to gain deeper insights into their Oracle Database environments. Because Oracle Database supports various data types, app development models, and design patterns, it offers a unified and integrated support for microservices and data synchronization.

Google Cloud’s Kubernetes Engine is an ideal platform build microservices applications complementing the benefits of the Oracle database. Developers don’t need to become experts in or carry the burden of managing multiple types of single-purpose databases, copying and synchronizing data from multiple sources, or combining data inside applications, letting them focus on innovation instead of integration.

The Oracle Database@Google Cloud experience

Simplified purchasing

Organizations can procure and access Exadata Database Service and Autonomous Database directly through the Google Cloud Marketplace using a range of private offers and pay-as-you-go public offers. Customers can also utilize their existing Google Cloud commitments to help procure these combined services. Oracle Database@Google Cloud also offers users the choice of selecting a License-Included model or using existing Oracle Database licenses with the flexibility of a Bring Your Own License (BYOL) model.

Streamlined provisioning and operations

Oracle Database@Google Cloud provides native integrations across Google Cloud’s console, CLIs, APIs, monitoring and operations. Customer can deploy and operate the fully managed Autonomous Database Serverless and infrastructure for the co-managed Exadata Database Service on Dedicated Infrastructure through the Google Cloud console, CLIs, and software developer kits (SDKs) with integrated access to the OCI interfaces. Oracle Database@Google Cloud allows for an easy setup of Data Guard and other Oracle Database capabilities using existing cloud automation and infrastructure-as-code (IaC), while federation between Google Cloud and OCI identity and access management (IAM) simplifies management and security. 

Collaborative support

Experts from both OCI and Google Cloud provide a unified customer support experience. Users can log support requests with either Google Cloud or OCI, and the support teams coordinate to deliver the fastest possible response.

Getting started

Learn more about Oracle Database@Google Cloud by visiting the Oracle product web page, consulting our reference architecture, and visiting the Google Cloud and Oracle solutions page on cloud.google.com. Watch demos that show how to provision an Exadata Database environment, use Oracle Zero Downtime Migration to migrate on-premises databases to Google Cloud, and monitor Oracle Database and Exadata operations; and read the how-to guide on provisioning Exadata Database Service on Oracle Database@Google Cloud. To dig even deeper, contact an expert or sign up for one of the Oracle Database@Google Cloud services through the Google Cloud Marketplace.