Abstract Artificial intelligence is a branch of science or rather advanced science which deals with how intelligence can be implemented. But after implementing next important aspect that should be made confront is how data which is generated will be stored and for that we need databases. Database is basically a pool of data which stores data in both sequential and non-sequential format [1]. 1. Introduction Traditionally, databases acted as passive repositories, lacking in understanding and analysis. The rise of intelligent databases marks a paradigm shift, integrating AI to actively manage information, not just data. These systems leverage natural language processing and machine learning to comprehend user queries, identify patterns, and even anticipate needs. By automatically extracting insights, recommending relevant information, and adapting to user behavior, intelligent databases empower data-driven decision-making, optimize resource allocation, and personalize user experiences across diverse fields like healthcare, finance, and research. While challenges remain in data security and interpretability, the future holds endless possibilities for intelligent databases to transform how we interact with and extract value from information [2]. 2. Intelligent Database An intelligent database refers to a database management system that incorporates advanced features like artificial intelligence, machine learning, and data analytics. These systems can