OPTIMIZING IOT DATA MANAGEMENT WITH ADVANCED DATABASES

The expanding integration of the Internet of Things (IoT) into numerous industries has boosted need for efficient, scalable, and secure data management solutions. Traditional database approaches are frequently unable to handle the dynamic, high-volume, and diverse data produced by IoT devices. This analysis examines the important breakthroughs in database technology designed for IoT contexts, with an emphasis on architectural improvements, query processing methodologies, performance optimization tactics, and security upgrades. The research emphasizes the value of real-time data processing, low-latency access, and flexibility to both centralized and decentralized infrastructures. Furthermore, the research highlights the need of cloud-edge integration and intelligent resource management in maintaining responsiveness and efficiency. This article gives a complete overview of current trends as well as insights into future prospects for developing strong data infrastructures in IoT ecosystems by assessing various methodologies and system capabilities.