There’s a reason some of the biggest companies with the biggest databases in the world rely on MySQL. This system goes beyond the outdated model of spreadsheet organization and gears itself toward the more robust systems of cloud-based data systems, and can comprehensively cover the wide-range of data types and sources available in the ever-expanding technological landscape.

What is MySQL?

Unlike older, and frankly outdated databases that are based on a primitive, binary input, MySQL thrives in the differentiated, numerous, and highly specific coding markers it uses for each piece of datum. The result is that the relationship possibilities between data references is exponentially increased.

This is why a MySQL database is often referred to as a relational database. The insight MySQL offers compared to traditional methods isn’t in the same discussion, anymore. It’s the equivalent to the 16-bit graphics video games started out with versus the robust graphics that modern video games display.


Why MySQL?


Built on the Linux system, MySQL is adaptable across multiple operating systems and program languages. This means that its applications and access points are nearly universal making it both easy to access, and functional in the most expansive sense of the word.

Universally Accessible

Being open-sourced, MySQL is freely accessible by anyone trying to build or utilize the system. This creates a flexibility that increases its power as it encourages wide-spread use among users worldwide.


While its in-depth coding index might seem counter to this notion, the data storage and references create the most intuitive and logical computing structures available. As programs that are built to use MySQL technology are more in-depth and specific, the usability for backend users is highly functional and intuitive, making data input more fluid and comprehensive. The real benefit comes in the reports and analysis that can be drawn from these processes making the benefit well worth any additional attention to detail necessary during data collection processes.

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