ificant power for data access and spatial query over PostGIS. We pared VectorDB and MongoDB for massive vector data processing. Results show that VectorDB has a better performance than MongoDB in mas - sive vector data processing. VectorDB is different from the traditional relational spatial database, and it can sup - port dynamic schema and thus is much more flexible and effective for storing, accessing, and analyzing various vector spatial data models and data formats. Our approach and implemented system will be useful for a variety of applications that need to store and access vector spatial data in a cloud environment. K e y W o r d s :vector; NoSQL Database; MongoDB; cloud storage; Hadoop; multiple-user * C o r r e s p o n d i n g a u t h o r :GUO Diansheng, E-mail :diansheng.guo@ 516
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