Latest Technology News Today – Get Latest Information Technology Updates and Services Latest Technology News Today – Get Latest Information Technology Updates and Services 
Oracle Exadata Cloud Infrastructure X9M, the next iteration of Oracle Cloud Infrastructure’s most powerful Oracle Database platform, is now available (OCI). Customers can execute current workloads quicker, with higher scale, and at a lower cost than prior generations using Oracle Autonomous Database Service or Oracle Exadata Database Service running on Exadata Cloud Infrastructure X9M. Moreover, by merging hundreds of OTLP, analytics, and mixed database workloads onto a single cloud service when upgrading from X8M to X9M, enterprises can save money.
The Exadata Cloud Infrastructure X9M has up to 8,064 database server vCPUs, which is 2.5 times more than the X8M, and up to 3.1 PB of uncompressed database capacity, which is a 28 percent increase over the X8M. Customers may conduct OLTP workloads with sub-19 microsecond SQL IO latency and up to 87 percent higher IOPS thanks to 80 percent faster internal networks and double the bandwidth to application server clients. Exadata Cloud Infrastructure X9M on OCI also speeds analytics workloads in the cloud with scan rates up to 2.88 TB/s, which is an 80 percent improvement.
“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.”
More OLTP and Analytics Performance and Scale
Customers can process more mission-critical transactions in less time and gain more insights by analyzing bigger volumes of data quicker and with more advanced analytical algorithms thanks to the high performance provided by Exadata Cloud Infrastructure X9M. Furthermore, as compared to X8M, the ability to consolidate more workloads on less equipment lowers expenses. 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.
Continuous Operations for Mission-Critical Databases
Exadata’s fault-tolerant hardware and integration with Oracle Real Application Clusters (RAC) enable infrastructure to be expanded, upgraded, and updated without interruption thanks to its fault-tolerant hardware and integration with Oracle Real Application Clusters (RAC). When switching from one pre-defined virtual machine form to another, other cloud databases frequently require downtime. Exadata Cloud Infrastructure X9M allows you to increase database server usage while also reducing the number of database servers use—all without transferring databases or causing downtime. Enterprises may consolidate mission-critical databases in the cloud without running out of resources, thanks to the flexibility to employ four to 252 vCPUs per database server and two to 32 database servers per system.
Greater Flexibility and Scale for Autonomous Database and Developers
Organizations and developers implementing Autonomous Database on OCI may now use more database and storage resources than was previously available on the X8M system, increasing performance and lowering costs. Customers that use Autonomous Database have the option of using the whole Exadata Cloud Infrastructure X9M configuration set in dedicated Autonomous Database environments. Customers may now employ more vCPUs to run more OLTP queries simultaneously, as well as more storage servers to parallelize analytics workloads with up to 38 times the scan throughput of X8M. Customers will be able to execute database workloads more quickly, consolidate more of them on less hardware, and save money as a consequence. For lighter workloads like development, microservices, and tiny databases, Autonomous Database also reduces costs with less management, consumption-based auto-scaling, and consolidation of up to five databases in one vCPU.
