Oracle Multi-Cloud Services Accelerate Iteration: Managed Connectivity and AI Database Reshape Enterprise Cross-Cloud Architecture

Introduction

As cloud computing enters the multi-cloud era, partnerships among hyperscale cloud providers are undergoing subtle changes. In the past few years, enterprises had to either build network connections between different cloud vendors themselves or take on security and performance risks over the public internet. Now, Oracle is demonstrating another possibility with a series of dense releases: deeper managed integrations are forming between Oracle Cloud Infrastructure (OCI) and AWS and Google Cloud. Starting in May 2026, Oracle successively announced the limited availability and general availability of Oracle Interconnect for AWS, expanded Oracle AI Database@AWS to 22 regions globally, and brought OCI GoldenGate to Google Cloud. These moves not only signal that Oracle's multi-cloud strategy has entered an acceleration phase, but also herald a new optional path for enterprise cross-cloud IT architectures.

Event Background: Oracle's Multi-Cloud Strategy Accelerates

In mid-2026, Oracle's multi-cloud team released a series of product updates. On May 15, Oracle announced the limited availability of Oracle Interconnect for AWS, while AI Database@AWS went live in Madrid, Spain. On May 20, the service further expanded to São Paulo, Brazil, and OCI GoldenGate became generally available on Google Cloud. On June 17, Oracle AI Database@AWS celebrated its first anniversary, with official figures showing hundreds of customers running critical workloads, and the release of multiple new services and regional expansions. On June 23, the service added two new regions—Stockholm, Sweden, and San Jose, USA—bringing global coverage to 22 regions. On July 29, Oracle Interconnect for AWS reached general availability.

These releases are not isolated events; together they point to a clear trend: Oracle is seeking to connect its database capabilities with the ecosystem strengths of AWS and Google Cloud, so that enterprises no longer have to choose between "strong data consistency" and "rich cloud ecosystems."

Technical Analysis: Multi-Cloud Connectivity, Managed Databases, and Real-Time Data Sync

Managed Interconnect: Oracle Interconnect for AWSCross-cloud network connectivity is the cornerstone of a multi-cloud architecture. In the past, enterprises had to route traffic between OCI and AWS over the public internet or set up their own encrypted tunnels, which posed security risks and lacked reliable capacity guarantees. Another option was to purchase dedicated connectivity products from both providers, but enterprises then had to coordinate the network models of the two cloud platforms and third-party contracts on their own, resulting in extremely high operational costs.

Oracle Interconnect for AWS is a fully managed private connectivity service. According to Nathan Thomas, Senior Vice President of Product Management at Oracle, the service is jointly built and operated by Oracle and AWS. Customers can create and manage connections through the management interfaces they are familiar with from both providers, without having to deal with the complexity of the underlying infrastructure. From limited availability on May 15 to general availability on July 29, the service has already achieved production-grade capabilities. Connections use IEEE 802.1AE MACsec encryption by default to ensure the confidentiality of data transmission. In addition, the service adopts unified pricing and charges no data transfer fees, which can significantly reduce enterprises' cross-cloud traffic costs. The initially available regions are OCI Ashburn and AWS US East (Northern Virginia), with more region pairs to be added over time.

Database Cloudification: Oracle AI Database@AWS

Oracle AI Database@AWS is a managed database service jointly launched by Oracle and AWS. It enables enterprises to use core database products such as Oracle Exadata and Real Application Clusters (RAC) in the AWS environment, with unified billing through AWS. Since its GA in June 2025, the service has expanded to 22 regions (as of June 23, 2026), covering major markets in North America, Europe, South America, and other regions.

From a service perspective, it is not simply hosting Oracle databases on AWS. By integrating Oracle RAC, Exadata Database Service, Autonomous AI Lakehouse, and AI Vector Search in a single multi-cloud environment, enterprises can maintain their existing application architectures while using the latest AI capabilities. For example, applications running on AWS can access Oracle databases nearby without having to redesign the network or application layer. This explains why, at the one-year mark, "hundreds of customers" were willing to migrate their most demanding Exadata and RAC workloads to AWS.Notably, Oracle also released new services such as Autonomous AI Database Serverless and Exadata Database Service on Exascale Infrastructure, further expanding deployment options and performance tiers. This allows enterprises to choose different database forms based on workload characteristics while enjoying the value brought by automation and AI integration.

Real-time data replication: OCI GoldenGate arrives on Google Cloud

On May 20, OCI GoldenGate became generally available as part of Oracle AI Database@Google Cloud. GoldenGate is a change data capture (CDC) and real-time data replication service that can synchronize data from Oracle and non-Oracle sources to multiple targets with low latency. Now, Google Cloud customers can configure GoldenGate directly in their console and pay for it using Google Cloud consumption commitments. This reduces the complexity of data migration and synchronization in multi-cloud environments, making hybrid multi-cloud architectures, high-availability scenarios, and real-time analytics practical options.

Enterprise impact analysis: Four dimensions from cost and operations to compliance

For CTOs and architecture decision-makers, the impact of Oracle's multi-cloud moves can be assessed across four dimensions.

Cost impact: Lower network traffic costs and operational costs

Oracle Interconnect for AWS does not charge data transfer fees, and connection pricing is globally consistent. For enterprises that need to move data frequently between OCI and AWS, this can significantly reduce variable spending. In addition, the managed connection eliminates the time and capital investment required to build your own network equipment and sign third-party contracts, reducing the overall cost of cloud adoption. However, enterprises still need to evaluate regional pricing, especially the cost changes after future expansion to more regions.

Deployment and operations impact: No re-architecture needed, consistent management experience

One of the core selling points of AI Database@AWS is that enterprises can use Oracle databases within the AWS ecosystem in the long term without rewriting applications. For many enterprises using Oracle databases, this removes the biggest barrier to migrating workloads to AWS. At the same time, customers can use AWS management tools and billing systems, so IT teams do not need to switch between two portals. The availability of GoldenGate on Google Cloud makes cross-cloud data synchronization as simple as using a single cloud service.### Security and Compliance Implications: Encryption, Data Residency, and High Availability

In terms of security, Interconnect for AWS uses MACsec encryption by default, securing the data link at the physical layer. Oracle's Maximum Availability Architecture (MAA) Platinum level also adds a layer of high-availability assurance. The newly added regions—Stockholm, Madrid, São Paulo, among others—enable enterprises to meet data residency and local latency requirements in the EU and South America. For industries with strict compliance needs, such as financial services, healthcare, and the public sector, these options are of significant importance.

Which Enterprises Should Pay Close Attention

For enterprises that already run applications on AWS while relying on Oracle mission-critical systems, AI Database@AWS may provide a low-risk migration path. Enterprises that are building hybrid cloud or multi-cloud data platforms and require real-time data synchronization should evaluate GoldenGate on Google Cloud. And any enterprise running high-throughput workloads in a multi-cloud environment should pay attention to Interconnect for AWS's pricing model—it may change current assumptions about cross-cloud traffic costs.

Market Competition Analysis: Cloud Vendors Move from "Confrontation" to "Co-opetition"

Historically, Oracle and AWS had direct competition in the database and cloud markets, but the two have now chosen deep cooperation. This not only caters to customer demand but also reflects profound changes in the cloud market landscape. Hyperscale cloud providers have realized that enterprise customers often want to run different tiers of workloads on different clouds, and no single cloud can cover all needs.

In this context, Oracle's multi-cloud strategy is to reach more enterprise customers through AWS and Google Cloud channels while preserving its own database technology moat. For AWS, introducing Oracle database services can satisfy the cloud migration demands of top-tier traditional enterprise customers, preventing these workloads from flowing to Azure or other platforms. For Oracle, this cooperation can both increase utilization of OCI infrastructure and expand the actual coverage of its cloud services.

But this cooperation may also bring new competitive pressure. For other database vendors, especially cloud-native Database-as-a-Service (DBaaS) providers, the alliance between Oracle and AWS will intensify competition in the high-end enterprise database market. At the same time, Google Cloud's introduction of GoldenGate means that existing players in the data integration market will need to face stronger competitors.

Industry Trend Observations: Multi-Cloud Becomes the Default Enterprise Architecture, and the Network Layer Becomes Strategic High GroundThree long-term trends can be seen from these releases. First, multi-cloud is shifting from a complex design solution adopted by a few enterprises to a default architecture for most. Network connectivity is no longer a problem for customers to solve on their own; cloud providers are beginning to offer cross-cloud connectivity as a managed service. Oracle Interconnect for AWS may not hold this position exclusively, and other cloud vendors are likely to follow suit with similar collaborations.

Second, the combination of AI and databases will profoundly impact infrastructure planning. Oracle AI Database@AWS brings AI vector search and Autonomous Data Lakehouse to the AWS environment, meaning enterprises can perform AI inference directly where the data resides without needing to copy data. This "data stays in place" model is likely to become the standard architecture for future AI applications.

Third, the focus of regional expansion is no longer simply the number of data centers, but meeting data residency and latency requirements in specific geographic locations. The emergence of cities such as Madrid, Stockholm, and São Paulo reflects enterprises' emphasis on localized deployment and also means that the geographic coverage of multi-cloud services will become more granular.

CloudTechDaily Insight

Oracle's multi-cloud offerings released over the past few months reveal a deep shift in the cloud market: as infrastructure becomes homogenized, connectivity and interoperability among cloud providers are becoming the new competitive dimension. Oracle chose to build cross-cloud capabilities together with AWS and Google Cloud rather than trying to get enterprises to fully adopt OCI, which shows that even second-tier cloud vendors can gain strategic initiative by going deep into database and AI fields.

For enterprises, the biggest significance of this round of releases is that the barrier to multi-cloud architectures is being systematically lowered. Managed interconnection removes the core pain point at the network layer, AI Database@AWS allows existing Oracle assets to continue delivering value in the AWS ecosystem, and GoldenGate makes real-time data flow part of a multi-cloud strategy. This is no longer just a question of "whether to use multi-cloud" but "how to leverage multi-cloud with lower risk and cost."

We expect that in the next 12 to 18 months, as more regions come online and more services are integrated, the multi-cloud collaboration model represented by Oracle will become an important benchmark for enterprise infrastructure. Enterprises that evaluate cross-cloud network costs, data residency requirements, and workload migration paths in advance will seize the initiative in the next round of IT transformation.