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
Link To Document :
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