The landscape of data management is evolving with programmable databases and large language models like ChatGPT gaining prominence.Programmable databases allow users to define and execute custom logic within the database, enhancing data management capabilities.ChatGPT's natural language understanding offers new possibilities for human-computer interaction in data management systems.The integration of programmable databases with ChatGPT holds potential for intelligent and interactive data systems.Programmable databases enable flexibility in data manipulation and automation of routine tasks.Stored procedures, views, functions, and triggers are key programmable objects in relational databases.Relational databases like MySQL and PostgreSQL offer mature programmability features suitable for various applications.NoSQL databases provide flexibility, scalability, and built-in scripting capabilities for AI integration.Graph databases like Neo4j excel in managing data based on relationships, ideal for applications involving complex data connections.Integrating ChatGPT with databases through API endpoints, middleware layers, and RAG architectures enhances usability and functionality.