. Capota, M., Hegeman, T., Iosup, A., Prat-Pérez, A., Erling, O., & Boncz, P. Graphalytics: A big data benchmark for graph-processing platforms. Association for Computing Machinery, Inc, 5, 2015.
doi  abstract   bibtex   
Graphs are increasingly used in industry, governance, and science. This has stimulated the appearance of many and diverse graph-processing platforms. Although platform di- versity is beneficial, it also makes it very challenging to select the best platform for an application domain or one of its im- portant applications, and to design new and tune existing platforms. Continuing a long tradition of using benchmark- ing to address such challenges, in this work we present our vision for Graphalytics, a big data benchmark for graph- processing platforms. We have already benchmarked with Graphalytics a variety of popular platforms, such as Giraph, GraphX, and Neo4j.
@inbook{c469e91b8f534261bde83b6a2a70a732,
  title     = "Graphalytics: A big data benchmark for graph-processing platforms",
  abstract  = "Graphs are increasingly used in industry, governance, and science. This has stimulated the appearance of many and diverse graph-processing platforms. Although platform di- versity is beneficial, it also makes it very challenging to select the best platform for an application domain or one of its im- portant applications, and to design new and tune existing platforms. Continuing a long tradition of using benchmark- ing to address such challenges, in this work we present our vision for Graphalytics, a big data benchmark for graph- processing platforms. We have already benchmarked with Graphalytics a variety of popular platforms, such as Giraph, GraphX, and Neo4j.",
  author    = "Mihai Capota and Tim Hegeman and Alexandru Iosup and Arnau Prat-Pérez and Orri Erling and Peter Boncz",
  year      = "2015",
  month     = "5",
  doi       = "10.1145/2764947.2764954",
  booktitle = "3rd International Workshop on Graph Data Management Experiences and Systems, GRADES 2015 - co-located with SIGMOD/PODS 2015",
  publisher = "Association for Computing Machinery, Inc",
}

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