Oracle's next generation Database Machine, Oracle Exadata X3, combines massive memory and low-cost disks to deliver the highest performance at the lowest cost, and is the ideal database platform for the varied and unpredictable workloads of cloud computing.
Oracle Exadata X3 systems leverage next-generation technologies to deliver significant improvements, including up to 40 per cent faster response times, up to 30 per cent reduction in power and cooling and the ability to store and manage hundreds on TB of data entirely in flash. It is also now available in a new, low-cost Eighth-rack configuration.
With Oracle Exadata customers can reduce IT costs through consolidation, store up to ten times more data, improve performance of all applications, deliver a faster time-to-market by eliminating systems integration trial and error, and make better business decisions in real time.
The Exadata Database Machine X3-8 is designed for database deployments that require very large amounts of data, delivering extreme performance and scalability for all applications including Online Transaction Processing (OLTP), Data Warehousing (DW) and consolidation of mixed workloads. It comes complete with two 8-socket database servers, 14 Oracle Exadata Storage Servers, InfiniBand switches and more than 22 terabytes of Exadata Smart Flash Cache to support extremely fast transaction response times and high throughput.
The Oracle Exadata Database Machine X3-2 comes in Eighth, Quarter, Half and Full Rack configurations to meet any application requirement and to enable you to easily scale as your requirements change. The Full rack comes complete with eight 2-socket database servers, 14 Oracle Exadata Storage Servers, InfiniBand switches and more than 22 terabytes of Exadata Smart Flash Cache to support extremely fast transaction response times and high throughput.
The Exadata Storage Expansion Rack enables you to grow the Exadata storage capacity and bandwidth of Exadata Database Machine X3-2 and X3-8 and SPARC SuperCluster. It is designed for database deployments that require very large amounts of data including: historical or archive data; backups and archives of Exadata Database Machine data; documents, images, file and XML data; LOB’s and other large unstructured data.