Evaluation Of Performance of NoSQL Database Management System: -MongoDB And Relational Database Management System: - PostgreSQL for Efficient Management Of Healthcare Data

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Sonia Dubey
Dr. Aditya Saxena

Abstract

Large amounts of health-related information must be dealt with in several current problems. As a result, more and more systems are adapting to the particulars of those data to satisfy the requirements of the application. The most unmistakable case is maybe the information stockpiling frameworks, that have fostered countless functionalities to productively uphold health information tasks. This work is persuaded by the subject of which of those information stockpiling systems is more qualified to address the necessities of modern applications. In particular, the work that was done was to compare MongoDB and PostgreSQL, two of the most representative of the two categories (NoSQL and relational), in order to determine which data store system provides the fastest response times. The assessment depends on genuine, query execution and their resulting questions as well as their basic foundations and closes in affirming the prevalence of PostgreSQL. In addition, using documents significantly shortens the average response time, particularly for MongoDB.

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Author Biographies

Sonia Dubey

Computer Engineering and Applications, GLA University Mathura, India

Dr. Aditya Saxena

Computer Engineering and Applications, GLA University Mathura, India