A Comprehensive Study on Big Data Processing NoSQL Databases

Due to the widespread use of the web and the widespread use of electronic devices to access the Internet worldwide, we are witnessing an exponential growth of information generated by hardware devices. Data is generated by different sources, which are all large-scale, complex, and heterogeneous. "Big data" is the term used to refer to the ongoing enormous development of structured and unstructured data. It is impossible to process and store big data using a traditional approach. Developers started favouring big data databases like Oracle and NoSQL in the previous decade due to big data's increased proficiency in handling data. This paper discusses how big data helps support modern data systems and compares it with the relational database technologies available. The limitations of relational databases, such as their limited scalability options, lack of high performance, lack of data modelling and distribution, and continuous availability, are addressed by these newer databases, such as NoSQL. This paper will compare relational database technologies with NoSQL databases in Big Data that can support interactive web applications with large user base databases.