Global Industry Analyst Views on the General Availability of Oracle Database@Google Cloud

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Oracle and Google today announced the general availability of Oracle Database@Google Cloud, enabling organizations to use Oracle Database services from OCI in Google Cloud and combine them with Google Cloud services to innovate with AI, migrate mission-critical workloads to Google Cloud, and simplify multicloud operations.

With Oracle Database@Google Cloud, customers can build and deploy applications that natively access OCI Oracle Database services with low latency inside Google Cloud. Organizations using Oracle Database@Google Cloud can easily migrate applications to Google Cloud by taking advantage of the compatibility between Exadata Database Service with on-premises Oracle Exadata deployments and they can modernize their databases and database operations by using Oracle Autonomous Database. By combining Oracle’s database solutions with Google Cloud’s advanced AI services and infrastructure, organizations can build and deploy next-generation applications, including AI applications, that deliver personalized experiences, optimize operations, and drive competitive advantage.

Leading industry analysts from around the world had the following to say regarding the general availability of Oracle Database@Google Cloud:

 

IDC

“Oracle and Google Cloud have extended their multi cloud strategy with this partnership, and customers can take advantage of the automation. 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.”

—Carl Olofson, Research Vice President, Data Management Software, IDC

 

Omdia

“Oracle continues to redefine what a next gen cloud architecture should look like. With Oracle Database@Google Cloud, the combination of Autonomous Database and Google Vertex AI opens up some interesting new vistas for enterprise-grade GenAI deployments. Clearly, organizations gain the benefit of having Oracle Database data and Google’s AI services and models working in the same data center. This also helps practitioners speed up their GenAI vector search operations via Oracle’s Exadata hardware. The unification of cloud services among these hyperscalers helps organizations spend more time deploying new applications and less time shuffling data from database to database or from cloud to cloud. This announcement illustrates a critical paradigm shift that we are witnessing in the age of multicloud.”

—Bradley Shimmin, Chief Analyst, AI & Data Analytics, Omdia

 

NAND Research

“For developers, Oracle’s multicloud approach, as exemplified by Oracle Database@Google Cloud, is a dream come true. They get the support for all modern data types, workloads, development styles and the automation of Autonomous Database with Select AI on OCI directly connected to Google Cloud services like Gemini foundation models, Vertex AI, BigQuery, and Looker—all within Google Cloud data centers. There’s no need to write complex code to go across clouds to fetch data or having to account for latency delays. Instead, developers can be more productive and focus on modernizing database applications and deploying generative AI capabilities to enable their organizations to innovate and improve business processes.”

—Steve McDowell, Chief Analyst, NAND Research

 

KuppingerCole

“A truly multi-cloud architecture should enable organizations to combine the best-of-breed capabilities from multiple clouds without performance or cost penalties. Running complex queries on Oracle Autonomous Database using AI Vector Search to augment Google Gemini foundation models is a great example of just that—a unique value proposition made possible only by the partnership between the vendors. Bringing Autonomous Database on Exadata hardware into the secure confines of Google Cloud data centers elevates it to the next level: customers can now use a single platform to handle relational, graph, spatial, time series, blockchain, JSON, and other data types for any type of workload, whether transactional, analytical, semantic, or GenAI.”

—Alexei Balaganski, Lead Analyst & CTO, KuppingerCole Analysts

 

The Futurum Group

“What do you get when you combine the breakthrough innovations of Oracle Database 23ai, such as AI Vector Search, with the Gemini foundational models of Google Cloud? You get Oracle Database@Google Cloud, a game changer in multicloud options for customers. When you think of all the business-critical data that resides on Oracle Database, and the ability to combine that with semantic data and run similarity search and RAG on high-powered Exadatas using Gemini models, an entirely new level of synergy is achieved—and organizations worldwide across all the key industries stand to benefit.”

—Ron Westfall, Research Director, The Futurum Group

 

Constellation Research

“Oracle is making history…again. As if the Oracle Database@Azure announcement wasn’t enough of a seismic shift in the world of multicloud choices for customers, we now have Oracle Database@Google Cloud. Oracle is bringing Autonomous Database and Exadata platforms—as well as HA features such as RAC on OCI—into Google Cloud data centers. This is Oracle’s multicloud strategy in action, running its core data platform architecture within other clouds. Google customers gain huge benefits as they can now directly use their data stored in Oracle databases with generative AI capabilities from Google Cloud’s Vertex AI and Gemini foundation models. All of this without moving data and getting all of the extreme performance that Exadata is known for. Providing CXOs with choices and flexibility of deployment options are crucial to enterprise acceleration.”

—Holger Mueller, Vice President & Principal Analyst, Constellation Research

 

theCube Research

“Following the groundbreaking multicloud announcement with Microsoft, Oracle Cloud Infrastructure Database cloud services are now available to users in Google Cloud data centers. Google users have access to the latest advanced Oracle Database technologies—such as AI Vector Search and Select AI—connecting their Oracle data with Google’s AI services, including Vertex AI and Gemini foundation models. Oracle’s multicloud strategy has reached a new zenith, giving customers choices of where to deploy workloads and allowing them to combine mission-critical capabilities across clouds.”

—Marc Staimer, Senior Analyst, theCube Research

 

Moor Insights & Strategy

“In modern business, data is crude, which, when refined, becomes the fuel that drives success. However, IT organizations struggle with bringing the data closer to the tools that deliver value. This is especially true in an era where GenAI and cloud computing intersect. As a leader in the database market, Oracle has continuously been on the leading edge of solving these challenges through technology and partnerships. Oracle Autonomous Database running on Exadata in Google Cloud is a prime example of this out-of-the-box thinking. Combining the power of Google Gemini and Vertex with Oracle’s AI Vector Search allows these IT organizations to unlock the power of GenAI for business users in a frictionless, performant fashion.”

—Matt Kimball, Vice President & Principal Analyst, Moor Insights & Strategy

 

Enterprise Strategy Group

“The fact that Oracle Autonomous Database will be running in Google Cloud data centers on Exadatas is one of those inflection points in time that transcends all the regular run-of-the-mill tech news topics to rise to the very top. When you imagine the sheer volumes and the business-critical class of data that resides on Oracle Database, and the innovative capabilities of Google Gemini and Vertex combined with Oracle’s avante garde AI Vector Search, the types of GenAI innovations that customers will be able to create are quite simply mind blowing—and have the potential to redefine the enterprise GenAI landscape.”

—Stephen Catanzano, Senior Analyst, Data Platform, Enterprise Strategy Group

 

dbInsight

“Oracle’s multicloud strategy meets developers where they live. With Oracle’s converged database, they can work with all of the popular data types, and with Select AI, they gain access to start-of-the-art services for developing applications harnessing generative AI. With Oracle Database@Google Cloud, they are directly connected to Google Cloud services like Gemini foundation models, Vertex AI, BigQuery, and Looker—all within Google Cloud data centers. And with Oracle Database@Microsoft Azure, they gain similar access with Azure Open AI. There’s no need to write complex code to go across clouds to fetch data or point-to-point integrations with AI services, and they won’t have to worry about latency delays. Developers can simply focus on writing the application, and if they are using the Oracle Autonomous Database, the database will take care of itself.”

Tony Baer, Principal, dbInsight

 

For more information on Oracle Database@Google Cloud:

Michael Brown

Senior Director, Product Marketing, Oracle

Michael is a seasoned product marketing and product management director with experience in real-time systems, high performance computing, graphics, storage, and databases. He currently manages the Oracle Exadata Cloud and Engineered Systems product marketing team. Michael holds an MBA from Wharton, an MSEE from University of Illinois Champaign-Urbana, and both a BS in Engineering and BA in Philosophy from Swarthmore College.