MySQL Vs MongoDB | a detailed comparison

MySQL vs MongoDB: In this article, we are going to discuss the comparison between MySQL and MongoDB and its usage.
Submitted by Bharti Parmar, on May 24, 2019

The differences between MySQL and MongoDB are given below based on the various properties.

Comparison between MySQL and MongoDB

Properties	MySQL	MongoDB
Language	Structure query language	Unstructured query language
Syntax	INSERT INTO university (dept_id, dept_name) VALUES ('1', 'CSE')	db.university.insert({dept_id: '1', dept_name: 'CSE',})
Flexibility	Pre-defined schema design	No schema design because it is unstructured
Relationship	Support JOIN	Support multi-dimensional data types and embedded documents.
Security	Privilege based security model: User authentication, facilitates it with user privileges on a particular database.	Role based access control with a flexible set of privileges: User authentication, auditing, authorization.
Performance	Slow and cannot handle un-structured data	Fast and handle large un-structured data.
Support	24*7 security, fixes, updates support	24*7 maintenance releases, bug fixes, patches, updates support.
Replication	Support master-slave replication: multi source replication allow us to replicate from several masters in parallel.	Supports built-in replication, shading and auto-elections: It uses replica sets to create multiple copies of data. We can also create a secondary database.
Active community	MySQL database is owned and maintained by the oracle corporation. So, it has a good and active community.	MySQL community is better than MongoDB.

According to business purpose

MySQL	MongoDB
Fixed schema	Unstable schema
High transaction	No database administrator
Low maintenance	High availability
Data security	Cloud computing
Limited budget	In-built sharding

Note: After this comparison, it is clear that both the database is good and useful in their own way. Choice of database completely depends upon the schema of your database. You can use MySQL database when you want database access in limited budget and MongoDB while you have an unstable schema with in-built sharding.

Usage of MySQL and MongoDB

MySQL	MongoDB
Best fit for data with tables columns and rows.	Best fit for un-structured data
Works better for small datasets.	Works better for large datasets.
Frequent updates.	High write loads.
Strong dependency on multi row transaction.	High availability in unstable environment.
Modify large volume of records.	Data is location based.

Conclusion:

In this article, we have learned about the comparison and Usage of MySQL and MongoDB. I hope you understand the comparison between them and both are good in their own purpose. Have a nice day! Happy Learning!