Silicon Graphics International: SGI Bigdata

SGI BigdataSGI High Performance Solutions for Data Analytics helps users to unlock value at the speed of memory, with near limitless scale and mission-critical reliability using SAP HANA, Oracle Database In-Memory, and Apache Hadoop. SGI UV 300H is a model of the SGI UV 300 supercomputer designed for large or growing SAP HANA environments and enables running critical applications on SAP HANA including SAP Business Suite, SAP Bank Analyzer, SAP S/4HANA Finance, and other SAP S/4HANA applications. Currently SAP-certified from 4 to 20 sockets and 20TBs of computing capacity, the future-ready UV 300H is designed to scale seamlessly to 32 sockets and 32TB of cache-coherent shared memory as a single node. A new model of the SGI UV 300 supercomputer designed for large or growing Oracle environments, SGI UV 300RL enables enterprises to run Oracle Database In-Memory on a single, Intel-based system with un-paralleled scale-up capacity. Certified with Oracle Linux 7 with Unbreakable Enterprise Kernel, UV 300RL scales from 4 to 32 sockets and 1 to 24TBs of cache-coherent shared memory to accelerate data analytics and achieve real-time operations. To tackle highly complex data relationships using graph databases, or to achieve time to value in seconds with other powerful analytic engines such as the Oracle TimesTen relational database, the broader SGI UV line encompasses the world's most powerful in-memory computing systems, delivering unsurpassed scalability, single-system simplicity, and widely proven SGI technology. SGI Professional Services and 3rd party experts will work closely with business lines and IT organization to deliver a complete solution, designed to users' needs and coupled with SGI's world-class support.SGI BigdataYou may also live to read, Top Graph Databases , Top In Memory Data Grid Applications, Top Open Source Big data Enterprise Search Software , Bigdata Platforms and Bigdata Analytics Software.The post SGI Bigdata appeared first on Predictive Analytics Today.