Performance Analysis of RDBMS and No SQL Databases: PostgreSQL, MongoDB and Neo4j

In this smart phone era, geospatial data plays the vital role in developing various citizen centric services for sustainable development of the society such as developing the smart cities, disaster management services and locating basic amenities such as schools, hospitals, Railway Stations, banks etc. People are generating geo tagged data on various social media websites like face book, twitter etc. which can be considered as big data due to acquiring major three attribute volume, variety and velocity of big data. Multiple sources are generating voluminous, heterogenous data which can't be fit into a predefined structure. Also, the applications based on these data require higher through put time. Managing Such a huge amount of data is really challenging. This geotagged data needs to be handled using big data management techniques like No SQL rather than traditional Relational Data Base Management System. Selection of appropriate type of No SQL Database is an important activity before developing any Geographical Information System based application. In this paper we tried to find out suitable No SQL data base for GIS application. This paper compares the performance of MongoDB and Neo4j in case of search queries executed on geotagged data.