The medical field has witnessed a surge in the importance of data, with medical data playing a crucial role in patient diagnosis and healthcare practices. It encompasses a wide range of information, including patient personal details, reports, and treatment records. The advent of technology has led to the generation of data in various formats, such as text, images, and videos. However, effectively storing and retrieving electronically generated medical data presents significant challenges. Data storage has always been a priority, and healthcare data is no exception. As healthcare data becomes increasingly digitized, its volume, velocity, and value continue to grow. Efficient management of this data is essential for practitioners, healthcare organizations, and patient well-being. Moreover, medical imaging technology has revolutionized the healthcare industry, enabling early disease detection and improved patient recovery. However, it generates massive amounts of semi-structured and unstructured visual data, necessitating advanced data models for efficient retention and retrieval. This research aims to evaluate different database management systems.