Additionally, SQL can be utilized for web scraping. You can write SQL statements that retrieve data from HTML pages, parsing it and extracting the desired information. This can be useful for automating data retrieval tasks or building custom data aggregation tools.

SQL can also be used for image processing. While it's not as efficient as specialized image processing libraries, you can store image data as blobs in a database and then use SQL queries to perform basic manipulations like cropping, resizing, or applying filters.

Another interesting use of SQL is performing sentiment analysis on textual data. You can use SQL to build queries that analyze and categorize text based on the sentiment expressed, such as positive, negative, or neutral. This can be handy for analyzing reviews, social media posts, or customer feedback.

One lesser-known use of SQL is generating random data. For example, you can use SQL to create a table with a specified number of rows and populate it with random data. This can be useful for testing or creating sample data for analysis.