What are the different graph processing alternatives for Hadoop/Spark -

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giraph, graphx, neo4j solutions today aware of. area tech-giants working, updated list appreciated. comparison of tools listed above not seen anywhere.

firstly, should mention giraph , graphx graph processing , neo4j graph database. if going store graph , query "give me nodes have content 'x' 2 distance neighbor having content 'y'" solutions neo4j (graph database) should applied. otherwise, giraph , graphx play graph processing role. unfortunately, although graphx offer nice apis, large graph size fails when available distributed memory not enough. condition observed when size of intermediate data not fit in available memory. in addition, represented in literatures, giraph got worst place in performance more stable graphx. there other solutions graphlab , titan "distributed graph processing" valuable investigate.


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