In today’s computational world, many ways are available for storing and retrieving database. Numbers of commercial database management systems are available in the market with their superiors. The primary goal of DBMSs is to provide a way to store and retrieve database information that is both convenient and efficient. The question is which one to be selected according to our need and usage. While selecting DBMSs the main agenda is its performance. This project focuses on optimizing query and data processing in large-scale data analytics using Python. Through these optimizations, we aim to empower organizations to extract valuable insights from massive datasets more efficiently, leading to better decision-making and innovation. Here, we use Django framework to implement this project. User can give the any query that query are stored in database of Sqlite and then explore the processing time of query statement of the system. Experimental results shown the better performance of the system.