Review of the Literature on Big Data and Performance Analysis of Multimodel and Polyglot Persistence

Social networking and e-commerce data are expanding at an exponential rate due to the recent advancements in ubiquitous computing. As evidenced by the most recent discovery of the Higgs Boson this is also true in scientific investigations. The vast amount, wide diversity, and lightning-fast speed of the data have led to it being dubbed “Bigdata,” necessitating the development of effective methods for analysis and storage. In this work, we examine the many NoSQL database types that are often used to store and handle Bigdata, as well as the shortcomings of each kind. For unstructured datasets, we created an experimental model to examine the effectiveness of Exploring the world of polyglot persistence and multi-model databases. Additionally, we go over many situations when they surpass one another.