• DocumentCode
    3727760
  • Title

    Assessment of MongoDB´s spatial retrieval performance

  • Author

    Miaoran Duan; Gang Chen

  • Author_Institution
    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Department of Geographic Information Science, Nanjing University, 210093, China
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Based on four sample point sets of 10 thousand (100*100), 250 thousand (500*500), 1 million (1000*1000) and 4 million (2000*2000), we test the space retrieval performance of MongoDB and ArcGIS in different sample quantity condition. The test results show that, after enabling spatial index, spatial retrieve performance of MongoDB is much better than ArcGIS, and the performance gap increases with the increase of sample point set; both of two products have shown strong regularity and stability in all sample point sets under test environment. Finally, experimental results explain the characteristic and application directions of two products.
  • Keywords
    "Operating systems","Memory","Relational databases"
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2015 23rd International Conference on
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2015.7378607
  • Filename
    7378607