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The need to analyze bigdata in an efficient way using nosql databases is the need of the hour to yield beneficial outcomes to any organization willing to switch to new tools and techniques. Although huge work is carried out in the literature to show case the application of nosql databases to deal with bigdata, much of the work is of theoretical orientation rather than in a practical way.Also, most of the existing works focus on comparative analysis among a set of relational and nosql data stores only, without representing any architecture or analysis to deal with the streaming data generated in the modern world. Though the information imparted in existing works is of great motivation to the researcher's, there is no scope for further improvement that can be carried out as an extension to the mentioned discussions. This ideology led towards the motivation to take up the current work to strengthen the need to use nosql databases as compared to the relational databases, identify themost suitable nosql datastore among a huge set of available types, and explore the scalability and security aspects for the chosen datastore.