TableChat is an AI-driven SQL and BigData tool that can generate production-ready database/warehousing operation statements based on the actual data table structure or data pattern. Utilizing the interactive dialogue capability of Language Models (LLMs), it accomplishes complex database operation generation, statement interpretation, optimization of database statements, and easy realization of database-related code. Developers can quickly obtain customized object structure code in various programming languages, thus avoiding table name confusion, making it a practical tool not only for database administrators but for all developers as well. Additionally, TableChat offers powerful data visualization and insights, simplifying data analysis and providing a visual representation of complex datasets including tables, statistics, and filters. Users can make informed decisions based on intuitive visual results and easily share them with colleagues. The product's simple and elegant operation provides the main functions required for database operations, without the need for complex features, allowing for graceful and fluid data queries and edits. The cross-platform client of the product allows users to have complete control over their data without worrying about data privacy. TableChat releases new updates weekly, always continuously improving.