Abstract:

To solve the bottleneck problems of the traditional relationship database in big data storage and access efficiency, this paper presents an efficient approach to store big earth data based on NoSQL (Not only SQL) database; MongoDB, a typical software of NoSQL, is compared with RDBMS (Relational Database Management System） in data storage and query performance. The result shows that NoSQL databases have the significant performance advantages in data adding, querying compared with RDBMS. Especially for the mass unstructured and semistructured data, the performance advantage is more obvious.

Key words: big data, earth sciences, not only SQL (NoSQL), MongoDB