Text-to-SQL Systems, based on artificial intelligence, represent a modern and innovative approach that enables users to generate SQL queries using natural language (NL), providing access to essential information from databases. The utility of these systems lies in their ability to allow a wide range of users, even those without technical knowledge, to easily obtain information for analysis, drawing conclusions, and making decisions, thus increasing the accessibility of databases and the data within them. This paper analyzes the concept of text-to-SQL systems, their characteristics, and the foundational elements on which they are built. A portion of the study is dedicated to the practical application of these systems in the fields of education. The paper examines both the advantages and potential drawbacks of such systems. Additionally, it explores the potential for the future development of text-to-SQL systems, addressing the challenges they face and proposing possible solutions to overcome these obstacles. The aim of the study is to critically analyze the domain of text-to-SQL systems and their components, as well as to suggest potential directions for their successful implementation in practice.