PLEASANTON, CA, Oct. 23 -– YarcData, a Cray company dedicated to providing “Big Data” graph analytics solutions to enterprises, today announced the uRiKA Fall 2012 Release – a major upgrade to its uRiKA Big Data appliance for graph analytics. YarcData’s uRiKA appliance enables real-time discovery of unknown and hidden information, such as patterns in Big Data, empowering business decision makers with rapid hypothesis validation for improved decision making.

The uRiKA Fall 2012 Release, which is available now, adds substantial new standards-based capabilities that reduce uRiKA’s “time-to-production” with new features that enhance uRiKA’s ease-of-use and ability to manage the graph analytics appliance within the enterprise. The upgrade also boosts functionality and performance on complex graph analytics inquiries.

Release highlights include the following added capabilities:

• Compatibility with the soon-to-be-released 1.1 version of the SPARQL open standard. SPARQL/RDF is an industry standard for graph analytics sponsored by the World Wide Web Consortium (W3C) and YarcData is committed to supporting the SPARQL/RDF open standard for graph analytics.
• YarcData Graph Analytics Manager (GAM), an intuitive, easy-to-use tool and user interface for managing complex graph analytics projects in an IT environment inside the enterprise. GAM enables IT administrators to manage the graph analytics in a paradigm similar to traditional database management tools. Based on Java, GAM includes a variety of enterprise ready capabilities, including security (authentication, authorization and access controls), monitoring, checkpointing, timelining and auditing.
• Enhanced graph analytics query functionality and performance, including dynamic updating of complex graphs in real time to enable decision-support in dynamic, rapidly-evolving information environments, support for managing massive results sets for complex graph queries on Big Data graphs, enhanced support for query parallelization for fast graph search, and improving big data graph ingest through improved compression.
• Enhanced integration and interoperability with the existing enterprise analytics environment, including XML/RDF compatibility so that translation of documents in diverse formats can be done natively as different data sources are brought together, the ability to parse out specified size results for use with standard visualization and reporting tools, and support for global datasets across all languages and formats to enable cross-language, cross-script relationship discovery.

The uRiKA Fall 2012 Release is a major step towards making graph analytics mainstream by making the uRiKA system even easier to use and adopt by enterprises. The uRiKA system’s advanced capabilities, which were previously in the hands of early adopters, can now be easily deployed by corporate IT environments.

“The Fall 2012 Release of the uRiKA appliance demonstrates YarcData’s continuing commitment to graph analytics, Big Data, and the semantic web. We are very excited to be among the first to receive this release with its significant increase in features, functions and performance,” said Gil Miller, Corporate Vice President and CTO of Noblis.

“Big Data graph-analytics are increasingly used to reveal unknown, unexpected or hidden relationships in a wide range of markets, including financial services, health sciences, energy, transportation, Internet commerce and others,” said Arvind Parthasarathi, president of YarcData. “Our uRiKA appliance combined with the enhanced capabilities in this release gives our current and future customers the world’s most powerful, easy-to-use platform for exploiting the power of graph analytics.”

The uRiKA appliance is available via subscription-based pricing.

About the uRiKA Appliance
YarcData’s uRiKA system is a Big Data appliance for graph analytics. The uRiKA system helps enterprises reveal unknown, unexpected or hidden relationships in Big Data by creating a highly scalable, real-time warehouse that supports ad hoc queries, pattern-based searches, inferencing and deduction. The uRiKA system is a purpose-built appliance for graph analytics featuring graph-optimized hardware that provides up to 512 terabytes of global shared memory, massively-multithreaded graph processors supporting 128 threads/processor, and highly scalable I/O with data ingest rates of up to 350 terabytes per hour -- and an RDF/SPARQL database optimized for the underlying hardware enabling applications to interact with the appliance using industry standard interfaces. The uRiKA system complements an existing data warehouse or Hadoop cluster by offloading graph workloads and interoperating within the existing analytics workflow. Subscription pricing for on-premise deployment of the appliance eases the adoption of the uRiKA system into existing IT environments.

About YarcData
YarcData delivers business-focused real-time graph analytics for enterprises to gain business insight by discovering unknown relationships in Big Data. Early adopters include the Canadian government, Institute of Systems Biology, Mayo Clinic, Noblis, Sandia National Labs, and the United States government. Started as a division of Cray Inc., the YarcData business is in the process of transitioning to a subsidiary, YarcData LLC, a Cray company. YarcData is based in the San Francisco bay area.

About Cray Inc.
As a global leader in supercomputing, Cray provides highly advanced supercomputers and world-class services and support to government, industry and academia. Cray technology is designed to enable scientists and engineers to achieve remarkable breakthroughs by accelerating performance, improving efficiency and extending the capabilities of their most demanding applications. Cray’s Adaptive Supercomputing vision is focused on delivering innovative next-generation products that integrate diverse processing technologies into a unified architecture, allowing customers to surpass today’s limitations and meeting the market’s continued demand for realized performance.

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Source: YarcData