Structure Query Language / Development Terms Structure Query Language Structured Query Language (SQL) is a programming language used to communicate with and manage data in relational databases. It allows users to create, read, update and delete data using clear, structured commands. SQL is the standard language for working with databases such as MySQL, PostgreSQL, Oracle and Microsoft SQL Server, making it one of the most widely used tools in data management, business intelligence and software development. SQL commands are divided into categories based on their function. The Data Query Language (DQL) includes commands like SELECT, which retrieves data from one or more tables. The Data Definition Language (DDL) includes CREATE and ALTER, which define or modify the structure of a database. The Data Manipulation Language (DML) includes commands like INSERT, UPDATE and DELETE, which change the data stored in tables. There is also Data Control Language (DCL), which manages access and permissions with commands like GRANT and REVOKE. SQL is essential for data-driven decision-making. Marketers use it to pull campaign data, analysts use it to generate reports, and developers use it to build applications that rely on structured data. Its syntax is relatively easy to learn, making it accessible even to non-programmers who need to explore or manage datasets. Whether you are analyzing donor behaviour, managing inventory or building a content platform, SQL provides the tools to structure and access data in a consistent, reliable way. Understanding SQL helps organizations make faster, smarter decisions by unlocking the full value of their data.