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re:Invent 2025: Oracle Exadata Now Available in AWS Data Centers, Equifax Migration Case Study
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📖re:Invent 2025: AWS re:Invent 2025 - What you've been waiting for: Oracle Exadata in AWS data center (DAT210)
In this video, Kambiz Aghili, Oracle's Vice President of Product, and Avinash from Equifax, explain Oracle Database at AWS's multi-cloud strategy. It highlights that Oracle's Exadata technology and all database services are natively available from AWS data centers and can be seamlessly integrated with AI services like AWS Bedrock. Equifax has adopted Autonomous Database to operate a 64-terabyte billing system. By migrating from RDS, they are enjoying benefits such as petabyte-scale storage, optimized performance, and AI-ready data enabled by Oracle 23ai and 26ai. Low-latency networking and integration with AWS Key Management Service have also been achieved. It is currently available in US East and US West 2 and is planned for expansion to over 20 regions in the future.
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Main Content
Oracle Database at AWS: The Full Scope of Multi-Cloud Strategy and Innovation
Can you hear me? Yes, perfect. Wonderful. So for today's agenda, I'm very honored to have one of our valued customers, Equifax, with me today, and they will share their experience around multi-cloud. I will go through about seven, eight minutes of just general overview, and then I'll turn it over to Avinash, and then hopefully we'll have about four, five minutes at the end to get some of your questions if you have any. So my name is Kambiz Aghili. I'm the Vice President of Product for OCI, responsible for multi-cloud, and I'm very excited to be with you all.
I want to just talk about a couple of things, to put it into perspective of what multi-cloud means. Oracle, for the last 40 years, has been providing best-in-class database, highly reliable database technology. Any industry you look at, out of the eight, nine industries, eight or nine out of 10 customers are using Oracle in one form or another. And it has always been on-premises, different deployment models, but this is the first time that we made Oracle's end-to-end Exadata technology and all database services, everything that surrounds Oracle technology, natively available through AWS. So Oracle is now available in all clouds, including AWS and Azure, running natively from their data centers, running on Exadata hardware, which I'll talk about why that's very unique compared to running on just commodity hardware.
We have been working very hard to continuously innovate for our customers since last year. And if I were to put the innovations that we have been working very hard to deliver based on our customer's requirements into three categories, there are three dimensions to it. Number one is the simplification of database management and operations. Our customers now have access to tools to automate. Database infrastructure is code. They can leverage APIs, CloudFormation, and then Terraform, so that their end-to-end journey is simplified.
The second one is we now provide fully automated data protection for our customers in near real-time. Our customers can leverage Autonomous Recovery Service, which was not available to them running natively on our hardware through a third-party cloud. And the third one is security. We understood that it's really critical that our customers not only can use Oracle technology from a perspective of their database and all the underlying services that we provide, but that they can integrate very well with best-in-class cloud and AI from AWS, and then the operational services that surround us.
For example, from a security perspective, as of last week, we provide integration with AWS Key Management Service, which is really great because now our customers who want to use KMS, they can use it on Oracle running natively from an AWS data center. That has never been the case before. And from that perspective, customers can continue to use other services for security, including Vault and Oracle Key Vault. So effectively, if you look at multi-cloud, it means that all Oracle database services and surrounding services are running natively from an AWS data center on native Oracle hardware infrastructure, and Oracle technology and all the AWS services that customers want to use can natively interoperate.
So the integrations we have put in are very extensive. As you have seen in the prior presentations, you want to use AWS Bedrock, you want to use GenAI applications. This allows you to combine your Oracle workloads and your data from Oracle Exadata and Autonomous AI database with native integration with AWS services and AI capabilities. That's the first time that's available as you build or modernize new applications that need to leverage AI or need to leverage best of breed of both technologies.
And the third point is that, in addition to integration, all these surrounding services for operational governance, security, and data protection can be natively integrated and used with AWS, whether federated or otherwise. As these two major players, this has never been achieved before. Exadata is a best-in-class hardware technology for running database services.
This is a unique technology that enables zero RTO and RPO across multiple Availability Zones within a region for enterprise-class workload sets, and also near-zero synchronous Data Guard across regions, allowing you to build active-active configurations. All of this is now natively available to AWS customers running Oracle workloads who want to leverage both services across the entire AWS region. Again, this is full end-to-end feature parity, performance parity, and MAA architecture of Oracle technology, which customers have been using for 30, 40 years, now natively available from AWS as Oracle Database at AWS. Specifically, I don't want you to confuse it with other services running on commodity hardware in AWS, but rather to complement them.
We have incorporated a low-latency network into the configuration, so for customers who were running their application and database layers independently and separately, these are now running with microsecond latency from the same data center. As you think about agentic AI applications, as you modernize your applications, or as you build new configurations over time, this latency will play a very unique role going forward. A seamless experience. Customers get the same experience in the AWS Marketplace as they do with other first-class AWS services. They can leverage AWS Partner Advantage and all other features and financial mechanisms available to procure and pay for Oracle services running natively from AWS.
And as I said earlier, connecting these services to each other is natively built into what we offer. So, I'll pause here and let Avinash from Equifax share their experience. One thing I want to tell you is that we launched GA last year. So, this is an enterprise-class service that hundreds and hundreds of customers are already using. It's available in US East and US West 2 Availability Zones, each with multiple Availability Zones. We will be launching three more regions with multiple Availability Zones at the end of this month, and over 20 regions are planned to go live and GA in the next nine to ten months. So, this service will be available everywhere in the world where customers need it. Avinash, over to you.
Equifax Case Study: Optimizing Large-Scale Billing Systems with Autonomous Database
Thank you. Hello everyone, can you hear me? Good. Alright, so let me talk a little bit about Equifax. Many of you in the US, at least, use Equifax as one of the major credit bureaus. We are not just a credit bureau; we are a data company. We hold all consumer data and so on. So, why Equifax? Basically, this is a very information-dense slide. I won't be able to cover everything in the time given. So, I'll talk a little bit about how Equifax uses AI and services from AWS and other cloud providers.
Equifax has built its own cloud in-house. We call it the Data Fabric Layer, leveraging all consumer data and providing insights from that data for the benefit of consumers. We primarily offer three major services: Employer Workforce Solutions, US Information Systems Solutions, which includes mortgage services and so on. When you get a mortgage, any bank or lender uses our Equifax services for all verification. Employment verification. Whenever you join a company and they need to verify, they use our services. Equifax has many services. These are the main ones most people recognize.
So, I was talking about all the data that Equifax uses and provides, and maintaining the Equifax Cloud. We have an in-house Equifax-owned cloud infrastructure design to provide real-time insights, large-scale multi-data assets, and improved speed and performance. Because when our customers and our B2B customers need data, that performance and speed are very important, right? There are many topics. You all have access to the slide, so you can read through it. If you have any questions, I'm happy to answer them at any time.
We are using Autonomous Database on AWS. Why? Because we have it. I basically support all enterprise data and financial systems. The financial system consists of a billing system, which requires a very high-performance OLTP database. Currently, our system has billions of user records coming in, and we have to process them. We have three main billing cycles.
Before the billing cycle, we have to rate all the data, construct the data, create the billing data, create invoices, and then send the invoices. So, it's always time-constrained. To execute that, we need a very high-performance system. Otherwise, revenue loss occurs. If we don't send invoices on time, revenue loss occurs. Also, we cannot purge data from the system right away, so we need high storage capacity for data.
This is a high-level architecture of how data comes into the system and how it gets processed. There are several points, such as high-volume usage processing, dynamic order management, etc. So, what are the key benefits of using Autonomous Database? Currently, we are using Amazon RDS Oracle, which is definitely a very good service. We have been using RDS for our BRM system for seven years. In these seven years, the database has grown exponentially, and it is now about 64 terabytes.
Good news, yesterday, the 256 terabyte version of RDS was announced. But the reason for migrating to Autonomous Database is that it is basically located within AWS, using all the infrastructure of the Exadata Database Service. It is located within AWS. As Kambiz mentioned, the data is located in AWS data centers, so all our applications are located in AWS. This means it's seamless, with no latency, and no issues. If we wanted to use that Exadata service in OCI, we would have to deal with latency between AWS and OCI. So, this is the best of both worlds.
The main benefits are optimized performance and throughput. We are a very high-performance OLTP system. As I mentioned, we need to process usage on time, create bills and invoices, and send invoices. So, we need a very high-performance system, and the underlying Exadata will definitely help with that. Scalable storage and data visibility are another important benefit. Exadata provides petabyte-scale storage, so we don't have to worry about storage constraints that other database services have.
For example, to manage RDS currently, we have a 64 terabyte limit. So, we have to purge data quarterly and archive the purged data. Since it's billing data, we can't just purge it. Therefore, we have to maintain a lot of archives due to this process and limitation. With Exadata and its petabyte-scale storage capacity, we don't have to worry about that. Also, even if the data size grows, Exadata's performance will help navigate that data.
When running Oracle databases using other services, such as on-premises, you have to do a lot of maintenance. So, that's one of the biggest benefits we get from using this service. As I mentioned earlier, it's an integrated cloud workload because it's located within AWS. We use a lot of AWS services, so seamless integration is another key benefit we get through Autonomous Database.
Also, an important part is Oracle 23ai and Oracle 26ai. Oracle 26ai was recently announced. By migrating to this, we can make our data AI-ready. Our applications have limitations, as we use Oracle Billing and Revenue Management system, which is an Oracle product. Their roadmap for AI readiness might be delayed, but what we can do by migrating to Autonomous Database is to make our data AI-ready. So, we can build our own AI solutions on top of Autonomous Database, leveraging what's available as part of Autonomous Database, such as Exadata. These are the main benefits. Due to time constraints, I'll hand it back to Kambiz.
Yes, thank you. I really appreciate it. Now, there are many places to learn more. Simply search for Oracle Multi-Cloud, search for MultiCloud on Google. You won't remember some of the links here, but the video recording will be published on the AWS website in a few weeks. And Avinash and I, between us, would like to take four, five, six minutes for your questions. The microphone is over there, so please ask if you have any questions. We are here for you all.
We should have taken more time. Well, I'll give you back two minutes. Thank you very much. Thank you for coming. Goodbye. Thank you, Kambiz. Thank you.
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