Research on Performance Optimization Techniques for MongoDB Database Based on Load Balancing

Abstract

This article examines the challenges traditional relational databases face in dealing with the growing demands of modern digital environments and proposes MongoDB (a NoSQL database) as a powerful alternative solution. MongoDB's document-oriented model provides flexible schema design, high performance, and easy scalability, making it particularly suitable for applications requiring rapid processing of large amounts of data, such as real-time analytics and the Internet of Things. Through in-depth analysis, we explored the key features of MongoDB, including automatic sharding, JSON style BSON data format, and dynamic load balancing technology considering access frequency, which significantly improved its efficiency and reliability. We also discussed MongoDB's evolution, technological advancements, and role in promoting agile development and scalable solutions in data-intensive applications. The article concludes by acknowledging the crucial role of MongoDB in modern application development, driven by its ability to meet the dynamic and complex demands of big data and cloud computing.