Most programs that work with databases, however, are not written in SQL directly. Instead, they build their SQL queries as strings of text and send those strings to the database to process.

Why SQL Succeeded To some extent, SQL was successful due to timing. As a way to standardize work around data, it provided a list of commands that were easy to understand.

SQL injection attacks have been going on for years, and the vulnerabilities and exploitation techniques are well-understood and widely discussed. However, they’re still quite prevalent and are ...

SQL, on the other hand, is still being used as part of work around AI, analytics, and software development. It continues to be the standard for how we interact with data on a daily basis.

SQL remains one of the top five programming languages according to Stack Overflow, with around 50% of developers using it as part of their work. Despite this ubiquity, SQL still has a reputation ...

SQL makes it possible to work with very large datasets that would be hard to manage with the graphical interface. You can also save your SQL scripts to use in the future or share them with others ...

Of course, there’s also another choice to using SQL or Python: Leveraging a general-purpose model that doesn’t provide any explicability. This is how ChatGPT works.

Native support for JSON in the upcoming SQL Server 2016 was buried among the many goodies announced earlier this month for the flagship RDBMS, but it's clearly an important feature for data developers ...