MongoDB Vs MySQL - Which Is A Better Database?

• (4.0)

• | 2616 Ratings

MongoDB vs MySQL

The hold of leadership is taken by relational databases for decades. The situation was well fitting as only a few options including Oracle, MS SQL, and MySQL was there to get the things done. All these have doled out as a basis for hundreds of thousands of enterprise apps as there is a need of more scalability and diversity in modern ones. Then, appear MongoDB. It has come into existence as non-relational databases and is capable of meeting with the existing needs. To know about these terms let’s dig a little deeper and get familiar with them.

What is MySQL?

It is feature-rich RDBMS (Relational Database Management System) formerly built by MySQL AB and is presently be in possession of Oracle corporation. MySQL keeps the record of data in tables assembled into a database. It makes use of SQL (Structured Query Language) for accessing data and managing commands like Select, Insert, Update, and Delete.

Besides, it allows storing all related info in different tables. However, the procedure of JOIN operation lets you to compare it, execute questions across different tables and lead to minimising the data duplication chances.

Coming to its compatibility, it works well with almost all operating systems, including Windows, Apple, Linux, UNIX, etc. Apart from that, a wide range of storage engines are also supported by MySQL such as Merge, Blackhole, Memory, InnoDV, CSV, to name a few.

What is MongoDB ?

Developed by 10gen, MongoDB is a well-liked document-oriented database. It helps in creating and storing documents in Binary JSON, BSON file format, as a result, it supports all JS types of data. The database is always applied for projects relating Node.js. Apart from this, JSON allows the transferring of all the data between web apps and servers using a format that can be easily read by a human. MongoDB can be considered as a better option in terms of offering greater reliability and efficiency when comes to the storage speed and capacity.

Checkout MongoDB Interview Questions

On top of that, it allows the employment of dynamic schemas that abolish the requirement of pre-defining the structure such as value types and fields.

MongoDB vs MySQL - Advantages and Disadvantages

Making a comparison between MongoDB and MySQL is not a cake walk as both the systems are really useful in their own and their core differences inspire their initial approach and basic operations. In general terms, both are open-source and can be approached easily. Along with that, both the systems comes in commercial versions offering a plethora of additional features. However, the comparison between both is going for a while now. Let’s check out their advantages and disadvantages:

Advantages of MySQL

• Offers support for JOIN
• Supporting Atomic transactions
• Availability of privilege and password security system is there
• Mature solution

Disadvantages of MySQL

• Having concerns related to stability
• Tough scaling
• Doesn’t in itiate community-driven development

Advantages of MongoDB

• Supports document validation
• Time between primary failure and recovery is shortened
• Comes with storage engines

Disadvantages of MongoDB

• It is not the finest option to consider for applications with complex transactions
• Young solution
• Can’t be considered as a snap-in replacement especially for legacy solutions

MongoDB vs MySQL - Which one to choose

After the acquisition of Oracle, reports regarding MySQL are not in favour. Where MongoDB is attracting its users with its simple and open viewpoint along with the helpful and collaborative community – MySQL is not getting much. According to the users, there is one more issue in the latter one that is the entire focus is on MariaDB development in conjunction with a decline to acknowledge community patches as well as to offer a sustainability plan. All such factors are pulling MySQL back, though it is still considered as a go-to option for many companies around the world.

About The Author

Prasanthi is an expert writer in MongoDB, and has written for various reputable online and print publications. At present, she is working for Mindmajix, and writes content not only on MongoDB, but also on Sharepoint, Uipath, and AWS.