EC News DeskOracle announced availability of Oracle Exadata Cloud Infrastructure X9M, the latest generation of the most powerful Oracle Database platform in Oracle Cloud Infrastructure (OCI). With Oracle Autonomous Database Service or Oracle Exadata Database Service running on Exadata Cloud Infrastructure X9M, customers can run existing workloads faster, with greater scale, and at a lower cost than previous generations. In addition, when upgrading from X8M to X9M, organizations can reduce costs by consolidating hundreds of OTLP, analytics, and mixed database workloads onto a single cloud service.
Exadata Cloud Infrastructure X9M offers up to 8,064 database server vCPUs, 2.5 times more than X8M, and up to 3.1 PB of uncompressed database capacity, a 28 percent increase. Together with 80 percent faster internal networks, and twice the bandwidth to application server clients, customers can run OLTP workloads with extremely low sub-19 microsecond SQL IO latency and up to 87 percent more IOPS. Exadata Cloud Infrastructure X9M on OCI also accelerates analytics workloads in the cloud with 80 percent faster scan rates of up to 2.88 TB/s.
“Autonomous Database and Exadata Database Service uniquely provide stock exchange-level performance, availability, and security transparently to all apps,” said Juan Loaiza, executive vice president, Mission-Critical Database Technologies, Oracle. “With Exadata Cloud Infrastructure X9M, we adopted the latest CPU, networking, and storage hardware, and optimized our software to deliver Oracle’s highest performance, most scalable, and most cost-effective cloud infrastructure for developing and running Oracle Database workloads—all at the same price as the previous generation.”
The high level of performance delivered by Exadata Cloud Infrastructure X9M helps customers process more mission-critical transactions in less time and develop greater insights by analyzing larger amounts of data faster and with more sophisticated analytical algorithms. Additionally, the ability to consolidate more workloads on less infrastructure as compared to X8M reduces costs. Exadata Cloud Infrastructure X9M provides the following advantages over other cloud databases:
- Sub-19 microsecond IO latency—25 times better than the half-millisecond latency offered by Amazon RDS, and 50 times better than the one millisecond latency offered by Microsoft Azure SQL—directly improves OLTP responsiveness and throughput.
- With 64 storage servers, X9M delivers up to 2880GB/s of aggregate analytics scan throughput—137 times faster than possible with a single Azure SQL (21GB/s) and 384 times faster than Amazon RDS (7.5GB/s) instance.
Exadata Cloud Infrastructure X9M accelerates database OLTP workloads in the cloud with 2.5 times more database cores and 87% more OLTP IOPS than the previous generation for the same price
Allows customers to run database analytics faster and with larger data sets using 80% more scan throughput and 28% more capacity than the previous generation
Exadata’s fault-tolerant hardware and integration with Oracle Real Application Clusters (RAC) provides continuous operations across failures and enables infrastructure to be expanded, upgraded, and updated without interruption. The scaling of other cloud databases often requires downtime when moving from one pre-defined virtual machine shape to another. Exadata Cloud Infrastructure X9M supports scaling up consumption on database servers and scaling out the number of database servers used—all without migrating databases or taking downtime. With the ability to use four to 252 vCPUs per database server and two to 32 database servers per system, enterprises can consolidate mission-critical databases in the cloud without running out of resources.
Organizations and developers deploying Autonomous Database on OCI can now increase performance and reduce costs by using more database and storage resources than previously possible on the X8M system. Autonomous Database customers have the flexibility to deploy the full range of Exadata Cloud Infrastructure X9M configurations in dedicated Autonomous Database environments. This enables customers to use additional vCPUs to execute more OLTP queries concurrently and more storage servers to parallelize analytics workloads with up to 38 times more scan throughput than possible with X8M.
As a result, customers will be able to run database workloads faster, consolidate more of them on less infrastructure, and reduce costs. Additionally, Autonomous Database drives further cost reductions with less administration, consumption-based auto-scaling, and consolidation of up to five databases in one vCPU for lighter workloads such as development, microservices, and small databases.
