A Detailed Analysis of NoSQL and NewSQL Databases for Bigdata Analytics and Distributed Computing

In the recent past, different database management systems are emerging and evolving fast in order to systematically and spontaneously tackle the growing varieties and vagaries of data structures, schemas, sizes, speeds, and scopes. That is, all kinds of data have to be carefully and consciously collected, cleansed, and crunched in order to squeeze out actionable and timely insights out of exponentially exploding data heaps. Data is turning out be a strategic asset for any growing and glowing organization across the world in order to devise perfect and precise strategies and roll out correct activities in time with all the clarity, continuity, and confidence. The noteworthy point here is that you cannot throw out any data (internal as well as external) as data can potentially emit viable and venerable information and insights when subjected to decisive and deeper investigations. Not only for data transformation, ingestion, mining, processing, and analytics but also for effective data engineering, management, governance, representation, exchange, persistence, and science, we need efficient technologies, tools, and tips. As we are heading toward the dreamt knowledge era, the role and responsibility of new-generation database systems are bound to escalate in the days ahead. This chapter is primarily prepared to tell all about the various NoSQL and NewSQL databases and how they come handy in augmenting, accelerating, and automating the highly complicated phenomenon of next-generation data analytics.