Remote sensing image database based on NOSQL database

Relational database technology plays an eventually role in the area of storage, management and analysis of global image in the past few decades. However, an RDBMS isn´t an ideal platform for modeling complicated spatial data networks and it is expensive and hard to maintain especially when the whole system is getting larger. With a revolution of Web technology, named as Web 2.0, NOSQL storages become an extremely hot new paradigm in data present and application. Hadoop offers a free open database named as HBase that closely emulate most of the components of Google´s BigTable in the management of global mass GIS data. This paper provides a view of the capabilities of NOSQL Database applied in global image systems and we have come out with that NOSQL Database involved huge volumes, network partitioning, and replication has a wide applicability, scalability and high performance than the traditional relational ones.