Today, we generate unprecedented volumes of data, precisely over 2.5 quintillion bytes of data every day! With each passing day, this number is only going to increase. However, the data we produce is generally raw and unstructured – it is a compilation of unorganized, random facts that lack coherence and meaning. Thus, it is essential to clean, organize, process, analyze, and contextualize the data to convert into meaningful information. This is where databases and database management systems (DBMS) enter the picture.

There are primarily two types of databases that act as a base for the many different databases we have now. They are SQL and NoSQL. Both of them are opposite binaries. Primarily, SQL served as the foundation for relational databases. Although SQL dominated the database domain for a very long time, the steady upsurge in data over the years created a need for a DBMS that can scale exponentially. This need resulted in the birth of the NoSQL database.

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