31 July | 9 min read
Multicloud is no longer a future-state concept for enterprise IT, it is the present reality. Most large organizations today operate across two or more cloud platforms, whether by deliberate design or through organic growth as different business units adopt different cloud providers. For Oracle database customers, this creates both an opportunity and a challenge: how do you modernize your Oracle data estate while preserving investment, meeting compliance requirements, and avoiding the operational complexity of fragmented database management?
The answer is not a single architecture, it is a deliberate framework for choosing the right Oracle deployment model for each workload, then connecting those environments into a coherent, governed data platform.
At Kiranam Technologies, we work with enterprises navigating exactly this decision. Our team brings deep expertise across Oracle’s cloud and multicloud portfolio, enabling us to help organizations design Oracle database architectures that span OCI, AWS, Azure, and on-premises, with the right placement for every workload.
Enterprises adopt multicloud for a range of reasons:
For Oracle database customers specifically, multicloud strategy intersects with another critical question: which Oracle deployment model namely cloud native, dedicated, or on-premises managed is right for which workload?
Oracle’s cloud database portfolio offers a range of deployment models, each optimized for different enterprise requirements. Understanding this spectrum is the foundation of sound Oracle multicloud architecture.
Best for: Variable workloads, development environments, analytics, and applications that need rapid self-service provisioning
Oracle Autonomous AI Database Serverless runs on shared Exadata infrastructure in Oracle Cloud Infrastructure. It provides elastic compute and storage scaling with a pay-per-use model, automatic management, and built-in AI capabilities, all with minimal configuration.
Key characteristics:
Serverless ADB is the right starting point for most organizations new to Oracle cloud, and for workloads that benefit from elastic cost models.
Best for: Mission-critical transactional systems, regulated industries, workloads requiring guaranteed performance SLAs
Dedicated deployments give enterprises their own Exadata hardware within OCI. This model provides stronger resource isolation, predictable performance, and greater control over configuration and scheduling while retaining the full Autonomous AI Database management layer.
Key characteristics:
Best for: Organizations with strict data sovereignty requirements, regulated industries where data cannot leave the on-premises environment, or enterprises requiring cloud economics with on-site data control
Exadata Cloud@Customer brings Oracle’s Exadata infrastructure into the customer’s data center, operated and managed by Oracle as a cloud service. The hardware lives on-premises; Oracle manages it remotely via OCI. Customers receive the full Autonomous AI Database experience self-managing, self-securing, self-repairing without moving data off-site.
Key characteristics:
A recent significant development: Oracle now supports Multiple VM Clusters on Exadata Cloud@Customer, allowing organizations to run both Autonomous Database and traditional Exadata Database VM Clusters on the same physical infrastructure — a major efficiency improvement for mixed-workload environments.
Best for: Organizations requiring full DBA control, specific Oracle Database configurations, or workloads with custom tuning requirements that go beyond what Autonomous manages automatically
For workloads where teams need full access to the Oracle Database management layer, specific parameter settings, custom storage configurations, or specialized patching schedules OCI’s managed virtual machine and bare metal database services provide complete DBA control on OCI infrastructure.
A growing number of enterprises run Oracle databases on AWS or Azure, either by design or because their primary cloud strategy centers on a non-Oracle cloud provider. Oracle’s multicloud approach addresses this directly.
Oracle offers Oracle Database services running on AWS infrastructure through Oracle Database@AWS a set of Oracle-managed database services available natively within the AWS environment. This allows organizations to run Exadata-class Oracle workloads in AWS while consuming them as AWS native services, co-located with AWS applications.
Relevant for:
Similarly, Oracle’s partnership with Microsoft brings Oracle database services including Autonomous AI Database natively into Azure. Organizations using Azure as their primary cloud can run Oracle databases with direct, low-latency connectivity to Azure services, billed through Azure, with joint support from Oracle and Microsoft.
Relevant for:
For organizations operating across multiple clouds simultaneously, Oracle offers high-speed interconnects between OCI and AWS, Azure, and GCP. These low-latency private connections enable enterprise architectures where Oracle databases in OCI serve applications running in other cloud environments, without routing traffic over the public internet.
Selecting the right Oracle cloud database deployment model requires evaluating several factors in combination:
| Decision Dimension | Questions to Ask |
|---|---|
| Data Residency | Must data remain on-premises? In a specific geography? Cloud@Customer or on-premises DBCS |
| Workload Predictability | Is compute demand variable or consistent? Serverless vs. Dedicated |
| Performance SLA | Is sub-millisecond latency critical? Dedicated Exadata over Serverless |
| Primary Cloud Platform | Is AWS or Azure the organizational standard? OracleDB@AWS or @Azure |
| DBA Control Requirement | Does the team need full database parameter access? DBCS over Autonomous |
| AI and Analytics Ambition | Does the roadmap include in-database ML or vector search? Autonomous AI Database |
| Compliance and Audit | Are regulatory frameworks mandating specific controls? Cloud@Customer or Dedicated |
Most large enterprises do not make a single choice they operate a portfolio of Oracle deployment models, matching the right infrastructure to each workload’s requirements.
A multicloud Oracle database estate introduces operational complexity that must be addressed at the architecture level. Enterprises that successfully manage Oracle across clouds typically build around four operational pillars:
Unified Monitoring and Observability A single pane of glass for database health, performance metrics, and alerting across OCI, AWS, Azure, and on-premises environments. Oracle Enterprise Manager, OCI Database Management, and third-party observability platforms each play a role depending on the environment.
Consistent Security and Identity Role-based access, encryption, and network security policies should be consistent across all Oracle database environments, regardless of where they run. Centralized identity management often anchored in an enterprise directory service enforces consistent access controls across the estate.
Governance and Cost Management Multicloud Oracle environments require disciplined tagging, cost allocation, and consumption tracking. Without it, cloud database spend quickly becomes fragmented and difficult to attribute to business units or applications.
Backup and Disaster Recovery High availability and disaster recovery strategies must account for the full deployment portfolio. Immutable backups, cross-region replication, and documented recovery runbooks are essential particularly for environments spanning cloud and on-premises.
Kiranam Technologies helps enterprises design, implement, and operate Oracle database architectures across cloud and multicloud environments. Our expertise spans the full Oracle cloud database portfolio, and our team has hands-on experience with the underlying components of Oracle’s cloud database and Autonomous Database ecosystem.
Our Oracle multicloud capabilities include:
Whether your Oracle estate is concentrated in a single cloud or distributed across hybrid and multicloud environments, Kiranam brings the architecture expertise and Oracle knowledge to help you operate it with confidence.
Ready to build your Oracle multicloud database strategy? Contact Kiranam Technologies
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Kiranam Technologies is an Oracle partner with deep expertise across Oracle Cloud Infrastructure, Autonomous AI Database, Exadata Cloud@Customer, and multicloud database architecture. Our engineering team brings firsthand experience with the foundational components of Oracle’s cloud database platform, enabling us to solve complex enterprise challenges with precision.
