Scalability Analysis and Comparison of Non-Relational Databases: Unveiling Challenges, Limitations, and Benefits

Managing the ever-increasing volumes of data in the information-rich era presents one of the greatest challenges of our time. To address this issue, databases offer scalability as a common solution. However, achieving scalability poses its own obstacles and limitations, as it necessitates the ability to handle vast amounts of data without compromising other application components or system resources. This study aims to analyze and compare the scalability of non-relational databases. By subjecting selected case subjects to large volumes of data, we aim to uncover the challenges and limitations these databases face, as well as identify the potential benefits associated with their utilization. The outcomes of this study will provide valuable insights for IT professionals, enabling them to make informed decisions concerning data retention and availability. Furthermore, the findings will contribute to enhancing the configuration of database systems within their applications, thereby ensuring a higher quality of performance.