COMPARATIVE PERFORMANCE ANALYSIS OF RELATIONAL AND NON-RELATIONAL DATABASE SYSTEMS

Abstract

This thesis describes the fundamental concepts of relational and non-relational database systems and their performance. The comparison of database performance was conducted in terms of the average query execution time. The selected dataset was described, and relational (MySQL) and non-relational (Neo4j) databases were created and populated with data. Special attention is given to the classification of queries into different categories for easier performance comparison. Queries are analysed and optimized using appropriate techniques. MySQL Workbench and Neo4j Desktop tools are used for the development and management of the selected databases. Python is used to establish connections with databases and execute queries.