Moving on with the DB options in OCI, as mentioned in the previous post, I’ll provide here a (short) summary about what I’d say to be the best available option for high workloads: the Oracle Exadata Database Service.

What Exactly is Oracle Exadata?

(If you still doesn’t know it)

Before sharing more about this option in the Cloud, we first need to look at its foundation. Oracle Exadata is a database machine engineered from the ground up to run Oracle Databases with unmatched efficiency. It is not just standard hardware; it is a purpose-built, co-engineered hardware and software architecture that combines high-performance compute servers, specialized intelligent storage cells, and an ultra-fast internal network fabric. This unique stack is designed to eliminate traditional infrastructure bottlenecks and deliver extreme scalability for enterprise workloads.

So, in short, if your environment requires extreme performance, high availability, and massive scalability for mission-critical databases, this is the definitive choice within the OCI DB menu.

(Essencial) Key Aspects

In a nutshell, what makes Exadata unique compared to traditional VM deployments is the fact that it was designed from the ground up to accelerate Oracle Database workloads:

• Smart Scan Technology: Offloads SQL queries and AI Vector Search algorithms directly to the storage tier, minimizing data transfer and drastically speeding up analytical queries.
• Extreme Low Latency: Utilizes Exadata RDMA memory (XRMEM) and automatic tiering across DRAM and flash storage to deliver transaction response times as low as 14 microseconds.
• High Availability with RAC: Natively runs Oracle Real Application Clusters (RAC) to eliminate single points of failure and ensure seamless operational resilience.

Co-Managed Service

It’s not only the best option for performance and high workloads, but also a good choice if your team require more operational control over database configurations and patching.

Unlike the fully-managed Autonomous Database, the Exadata Database Service uses a co-managed model. This means Oracle experts handle all the complex physical infrastructure—compute servers, storage servers, and high-speed networking—while you retain full administrative root access to the virtual machines (VMs) and databases.

More flexibility for companies with internal restrictions and looking for autonomy over such operational accesses, decisions and schedules.

Key Deployment Models

To match specific architectural, cost, and compliance requirements, Oracle offers three primary infrastructure options:

• Dedicated Infrastructure (ExaDB-D): Run your database workloads on dedicated, isolated Exadata hardware clusters within OCI public regions.
• Cloud@Customer (ExaDB-C@C): Brings OCI-managed Exadata hardware and cloud automation directly inside your own on-premises data center, answering strict data residency and latency needs.
• Exascale Infrastructure (ExaDB-XS): A highly flexible, multi-tenant cloud option that allows you to start small and pay only for the exact compute and storage resources you use, without needing dedicated hardware.

Exadata Deployment: Three Steps

Its deployment is a kind of workflow, hierarchical process. Unlike the Base Database Service, where you can provision a database directly in a single step, Exadata service requires a structured architecture pipeline: You must first provision the physical Exadata Infrastructure, then deploy the Exadata VM Cluster on top of it, and only then can you create the Oracle Databases inside that cluster.

This architecture gives your team the freedom to:

• Customize the environment and install specific software agents.
• Control the exact database versions, release updates, and custom patches.
• Manage the operational lifecycle using built-in OCI cloud automation to simplify backups, scaling, and provisioning.

For example: It’s in the infrastructure step where you define the model (technology Exa version):

… the number of Storage and VM servers, visualizing the amount of CPUs and Storage:

… as well as its maintenance method and schedule definition:

Conclusion

For enterprise architectures that cannot compromise on performance and also require more database administration control, the Exadata Database Service bridges the gap between raw hardware capability and cloud agility. 

For more technical details and architectural deep dives, here’s the doc:

https://docs.oracle.com/en-us/iaas/exadatacloud/index.html

In the next post, I will cover another service option available for Exadata: the Oracle Exadata Database Service on Exascale Infrastructure (ExaDB-XS).

See you there!