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A Selection Process of Graph Databases Based on Business Requirements

  • Víctor OrtegaEmail author
  • Leobardo Ruiz
  • Luis Gutierrez
  • Francisco Cervantes
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1071)

Abstract

Several graph databases provide support to analyze a large amount of highly connected data, and it is not trivial for a company to choose the right one. We propose a new process that allows analysts to select the database that suits best to the business requirements. The proposed selection process makes possible to benchmark several graph databases according to the user needs by considering metrics such as querying capabilities, built-in functions, performance analysis, and user experience. We have selected some of the most popular native graph database engines to test our approach to solve a given problem. Our proposed selection process has been useful to design benchmarks and provides valuable information to decide which graph database to choose. The presented approach can be easily applied to a wide number of applications such as social network, market basket analysis, fraud detection, and others.

Keywords

Graph databases Benchmarking Selection process 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Víctor Ortega
    • 1
    Email author
  • Leobardo Ruiz
    • 1
  • Luis Gutierrez
    • 1
  • Francisco Cervantes
    • 1
  1. 1.Department of Electronics, Systems and Information TechnologyITESO Jesuit University of GuadalajaraTlaquepaqueMexico

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