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    GraphLab = Graphs + Machine Learning
    GraphLab is an open-source software platform that enables advanced analytics and machine learning on graphs.  At a high level, GraphLab is the Hadoop of graphs.  By leveraging breakthroughs in system design, GraphLab scales from a laptop to an entire data-center, is compatible with existing Hadoop infrastructure, and delivers orders-of-magnitude performance gains over existing systems.

    Apache Giraph
    Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper. Both systems are inspired by the Bulk Synchronous Parallel model of distributed computation introduced by Leslie Valiant. Giraph adds several features beyond the basic Pregel model, including master computation, sharded aggregators, edge-oriented input, out-of-core computation, and more. With a steady development cycle and a growing community of users worldwide, Giraph is a natural choice for unleashing the potential of structured datasets at a massive scale. 
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    • 2014-02-06 20:05:35Z
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