Overview of Indexes Used in NOSQL Databases of MongoDB Architecture

Abstract

The present day transactions result into petabytes of data collected and the credit almost goes to the booming ICT industry. The data received is able to detect the hidden patterns for the enterprises and research industry and help them to improve their traditional methods. However the data is unstructured and requires new innovative technologies to be implemented in the architecture handling big data. In the present paper, we have tried to explore the NOSQL database handling techniques and specifically the indexes that help to reduce the time complexity to handle the unstructured data. This paper is divided into four sections where the first section compares the DBMS and DSMS followed by the literature review on this technique and introduction to the MongoDB architecture and overview of NOSQL databases. The fourth section handles the types of the databases, it’s index types. Fifth section describes the performance comparison of the various MongoDB with RDBMS.