DBQA: A Comprehensive Query Performance Analyzer with Django Framework

In the ever-evolving landscape of computing, numerous methods exist for storing and retrieving databases. Commercial Database Management Systems (DBMSs) offer varied options, with performance standing out as a critical factor in their selection. This project is specifically geared towards optimizing the processing of queries and data in large-scale analytics using Python. Leveraging the Django framework, users input queries, stored in an SQLite database, to delve into processing times. Experimental results highlight the system’s efficiency and enhanced performance across a spectrum of queries, fostering more effective decision-making.