Assessment of MongoDB's spatial retrieval performance
Miaoran Duan, Gang Chen · 2015
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.