• DocumentCode
    3450877
  • Title

    Benchmarking Traversal Operations over Graph Databases

  • Author

    Ciglan, Marek ; Averbuch, Alex ; Hluchy, Ladialav

  • Author_Institution
    Inst. of Inf., Bratislava, Slovakia
  • fYear
    2012
  • fDate
    1-5 April 2012
  • Firstpage
    186
  • Lastpage
    189
  • Abstract
    A significant number of graph database systems has emerged in the past few years. Most aim at the management of the property graph data structure: where graph elements can be assigned with properties. In this paper, we address the need to compare the performance of different graph databases, and discuss the challenges of developing fair benchmarking methodologies. We believe that, compared to other database systems, the ability to efficiently traverse over the graph topology is unique to graph databases. As such, we focus our attention on the benchmarking of traversal operations. We describe the design of the graph traversal benchmark and present its results. The benchmark provides the means to compare the performance of different data management systems and gives us insight into the abilities and limitations of modern graph databases.
  • Keywords
    database management systems; benchmarking traversal operations; graph data structure; graph databases; graph topology; graph traversal benchmark; Benchmark testing; Communities; Data models; Database systems; Loading; Memory management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2012 IEEE 28th International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4673-1640-8
  • Type

    conf

  • DOI
    10.1109/ICDEW.2012.47
  • Filename
    6313678