YarcData® Urika® Big Data Graph Appliance
The YarcData® Urika® graph appliance is a purpose-built solution for big data relationship analytics. Urika enables enterprises to discover unknown and hidden relationships in Big Data, perform real-time analytics on big data graph problems and realize rapid time-to-value on big data solutions.
The Urika graph appliance complements an existing data warehouse or Hadoop® cluster by offloading graph workloads and interoperating within the existing enterprise analytics workflow.
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Cray Cluster Supercomputers for Hadoop
Cray cluster supercomputers for Hadoop are turnkey solutions purpose
built for realizing the potential of Hadoop.
Built on optimized configurations of the Cray CS300 cluster supercomputer series, these systems feature Linux™ OS, workload management software, Advanced Cluster Engine (ACE™) management software and Apache Hadoop® software – all integrated, optimized, validated and supported by Cray.
With its Hadoop solutions Cray provides a fast and reliable path to
using Hadoop applications as the basis for critical decisions and
strategic moves. Instead of worrying about the system, organizations can
focus on accessing more data, posing more questions and choosing the
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Cray Framework for Hadoop
Fusing the benefits of supercomputing and Big Data, the Cray Framework for Hadoop gives Cray customers the ability to more easily implement and run Apache Hadoop on their Cray® XC30™ supercomputers. The Cray Framework for Hadoop package improves overall efficiency and performance for Cray XC30 customers deploying Hadoop in Scientific Big Data environments and includes documented best practices and performance enhancements designed to optimize Hadoop for the Cray XC30 line of supercomputers.
Built with an emphasis on Scientific Big Data usage, the framework provides enhanced support for data sets found in scientific and engineering applications, as well as improved support for multi-purpose environments, where organizations are looking to align their scientific, compute and data-intensive workloads. This enables users to gain the utility of the Java-based MapReduce Hadoop programming model on the Cray XC30 system, complementing the proven, HPC-optimized languages and tools of the Cray Programming Environment.
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Apache Software Foundation in the United
States and/or other countries.