Applicability of MongoDB for Smart City Digital Twin Implementation

The fast development of smart cities includes edging technologies such as Digital Twin (DT) that plays a critical role in developing and managing smart cities by providing dynamic, virtual representations of physical assets, systems, and processes. These digital replicas are continuously updated with real-time data collected from Internet of Things (IoT) devices, such as sensors, smart devices, connected vehicles, and monitoring systems, to enable city planners, policymakers, and operators to monitor, analyze, and optimize urban environments with unprecedented precision. To gain meaningful insights from collected data, it is necessary to have robust database systems capable of efficiently storing, organizing, and retrieving large volumes of information. Databases serve as the backbone of smart city applications, ensuring that IoT-generated data can be accessed quickly and reliably to support analytics, predictive modeling, and real-time operations. This paper examines MongoDB, a widely used nonrelational database technology, with the objective of exploring various database architectures and features. The analysis focuses on how these architectural choices influence the performance of smart city applications, providing insights into the factors that should be considered when selecting a database solution for IoTdriven environments.