SQL, or Structured Query Language, remains a vital tool for database management despite the rise of NoSQL alternatives. With over forty years of development, SQL offers a structured, predictable framework that ensures consistency through predefined schemas, making it ideal for web applications that require reliability and multi-row transactions, such as accounting systems. Although NoSQL databases are appreciated for their scalability and flexibility in handling large data volumes without a fixed schema, they can suffer from inconsistencies and require significant developer intervention to manage data representation. SQL's ability to execute complex operations, like sum calculations, directly on the server reduces data transfer overheads and enhances performance. Additionally, SQL's widespread adoption is supported by a robust community, extensive compatibility with various programming languages, built-in security features, and automated functions like stored procedures. The demand for SQL skills remains high, with numerous job openings and resources available for learning. Ultimately, while both SQL and NoSQL have their merits, choosing between them should be based on specific application needs and the potential for long-term scalability and maintainability.