Today, most financial services organizations try to solve all of their big data challenges using either grid or cluster technologies. One popular approach involves the use of Hadoop running on commodity x86-based clusters. At Cray we’re taking a different approach, leveraging our supercomputing technologies to improve I/O performance, disk utilization and efficiency. Additionally, we provide the largest globally shared-memory environment for graph analytics, and an innovative cluster appliance that can leverage a parallel file system to improve performance, reduce data center footprint, and lower on-going maintenance and support costs for Hadoop-based implementations.
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