While building a custom web application one needs to undertake the type of database. The two most prominent one are MySQL and Mongo DB. There’s always a comparison drawn between the two of them. Both are open source database but they are embedded with many differences. Thus, I will introduce you with some differences between these two, which is imperative to know for any Web development company in India.
But before we delve into the differences between the two, let’s first understand what are MySQL and MangoDB briefly.
MySQL is an open-source Database management system. It’s created and managed by Oracle Corporation. The system uses SQL, which means structured Query language. The system is hugely popular due to its features like pre-set up database schema, and others. One can use it according to their requirements and set up rules. Moreover, any related information is stored in separate table sections, but still connected via joins. It’s a great way to eliminate any data duplication.
MongoDB is also an open source database, just like MySQL. The software stores its data in documents like JSON, which greatly vary in their structure formations. It uses dynamic ways by which one can create data records without actually explaining the structure. One such example is the fields and types of the values. It even easy when comes to changing the structure of the records like adding or deleting fields.
Now lets’ draw a comparison between the two databases.
One of the features of MySQL is its JOIN operation. It’s an efficient feature which allows user to search their queries across tables, while mongo DB doesn’t support JOIN rather it offers multidimensional database. One of the examples is say, if you have to create a blog via MySQL, one needs to a have specific tables for post as well as comments. But, when it comes to MongoDB it’s the complete opposite of MySQL, you can have a separate collection of posts as well as comments within each such post.
If you are working with MySQL, you need to define all the content and tables prior to storage. While in MongoDB one doesn’t need to define the schema. It’s fairly quick in Mongo DB, as one need to simply drop the documents without belonging to same fields.
The performance of MySQL depends on the database one is using. Let’s say if one is using ORM database, then there are chances of performance being suffered. But if one is using a simple database there are high chances of better performance. While in Mongo DB one still requires to index the data. But the one persistent problem is the immense amount of applications, which rarely notices such key differences.
These were the few key differences one needs to undertake while choosing between the two databases. Both are extremely popular due their different features. Thus, one needs to understand their specifications and then opt depending on the requirements of applications.