MongoDB and SQL databases are two polar opposite sides of the backend world. The former deals with chaotic unstructured data, while the latter works with organized structured data. Both worlds have their own advantages and disadvantages and are meant for different types of use cases. In this article, we will do an in-depth comparison between MongoDB vs SQL databases, (to be precise MySQL database) and will also touch upon the important topic of how we can perform MongoDB analytics similar to the ease with which analytics are done on its SQL counterparts.

MongoDB vs MySQL

As we discussed, we will compare MongoDB with MySQL which is a well-known SQL database and most of our audience will be able to relate with it. But it could have been any other SQL database also like Oracle, MS SQL Server, PostgreSQL, etc for our comparison.

#mongodb #database #sql #mysql