Description: An adaptive database is a data management system that has the ability to modify its structure and behavior based on the data it stores and the needs of users. Unlike traditional databases, which require a fixed and predefined structure, adaptive databases can dynamically adjust to changes in the type and volume of data. This is achieved through advanced algorithms and machine learning techniques that allow the database to learn from usage patterns and optimize its performance. The main features of these databases include flexibility in data modeling, the ability to scale horizontally, and the integration of multiple data sources. Their relevance in the current context lies in the growing need to efficiently handle large volumes of information, especially in Big Data environments, where data is varied and constantly changing. Adaptive databases are essential for applications that require real-time analysis and personalization, enabling organizations to respond quickly to varying demands and user preferences.
