The history of SQL dates back to 1970 when E.F. Codd published a seminal paper on a relational model of data for large shared data banks, leading to the development of the relational database market into a $36 billion industry. In recent years, NoSQL databases gained popularity, but many companies soon realized that they lacked the ability to analyze their data easily, highlighting the limitations of NoSQL without SQL. However, new products and cloud services have emerged that enable scalable SQL systems, allowing for easy analytics and data analysis. The convergence between old and new approaches in database technology is evident, with SQL becoming increasingly relevant as NoSQL databases offer SQL interoperability and distributed architectures. Amazon Web Services' statistics show that SQL is still the dominant force in the cloud, with services like Redshift, Aurora, and Athena delivering SQL on top of S3, demonstrating that SQL never left and remains essential for data analysis.