Home » SQL Vs MongoDB: The Ultimate Guide To Learn How They Differ?

SQL Vs MongoDB: The Ultimate Guide To Learn How They Differ?

sql vs mongodb

Databases play a vital role in storing the data in a proper format and showing it whenever it is required. The term SQL Vs MongoDB refers to SQL databases and MongoDB or NoSQL databases. If these are totally new things to you still you don’t have to worry I’ll explain everything that is necessary for you to understand the main topic.

The main difference between the two lies in the way they store different types of data. I want you to follow along till the end of this article carefully in order to get to know about it in detail. Also, I’ll try to keep things as simple for you as I can.

1. Understanding SQL Vs MongoDB

1.1 What are databases?

In simple words, the database is an organized system for storing data in a structured and systematic form electronically either online or offline it is controlled by a DBMS and it mostly uses SQL for writing and querying data.

1.1.1 What is a DBMS?

A DBMS is also known as Database Management System which is software for storing the data in a database and retrieving it. A DBMS allows users to create as many databases as they wish to according to their requirements. Inside a DBMS there are certain programs that handle or control the database in various ways and make it easy for the user to access it.

1.2 What are SQL Databases?

1.2.1 What is SQL?

SQL is also known as Structured Query Language, which is used in a DBMS for storing and querying or managing data. It is used in the relational type of database management systems and it is also a standard language for such types of databases. The best example of RDBMS which is most widely used today is MySql.

So, SQL databases are those that use SQL as a querying language for storing and managing the data.

1.2.2 SQL Databases or Relational Databases

Relational databases are the type of databases in which there is a relational system between data that is stored accordingly. They are usually in the form of tables i.e. columns and rows. Each column represents attributes and each row represents some record whereas each field in the table stores some data value.

SQL(Structured Query Language) is used in RDBMS as a standard and it is used to insert, update, remove, and search the data.

1.3 What are NoSQL databases?

NoSQL databases are those types of databases that do not have a relational type of databases management system nor do they have a predefined structure like an RDBMS. So, Having no predefined schema(structure of the database that defines how the data will be organized in it) makes it perfect for storing a large amount of data. It is very useful for bigger stores and companies for example Facebook, Instagram, and Google store terabytes of user data per day.

1.4 What is MongoDB?

MongoDB is a non-relational document-oriented database management system which is a NoSQL type of database. It means that it doesn’t rely on the relational table databases system.

Also, there is no need for predefined schemas(skeleton structure of the data in the document) while adding data to the database instead it uses JSON-like documents with dynamic schemas. Basically, the document uses key-value pairs which are the basic system of storing data in MongoDB.

2. What is the difference between SQL databases and MongoDB / SQL Vs MongoDB?

SQL databases Vs MongoDB

SQL Databases

  • They use SQL(Structured Querying Language) for storing and managing data.
  • They have a relational type of database management system and they are in the form of tables i.e. columns and rows.
  • The data is stored in a structured form in the form of tables and the data is accessed through those tables whenever needed.
  • They have a pre-defined schema.
  • One of the best examples of SQL databases is MySQL database.
  • It is not the best choice for storing huge amounts of data but still it is being used and loved by many large companies.
  • Some of the examples of top companies that use MySQL databases include Uber, Airbnb, Netflix, Pinterest, etc.
  • It supports vertical scaling i.e. you will have to increase the ram, CPU, and SSD if you want to scale your system.
  • In SQL databases, data is easily accessible and classifiable but in some cases, certain limitations are seen in them, especially in the case of complex data.
  • In SQL databases, SQL is the only way for storing and managing data.


  • It is a NoSQL database and it doesn’t use any SQL(Structured Querying Language) for storing and managing data.
  • It is a non-relational type database management system.
  • MongoDB stores data in an unstructured way and it uses JSON documents for storing data usually in the form of key-value pairs.
  • It doesn’t have a pre-defined schema or a skeleton structure for the data.
  • One of the best examples of a NoSQL database is MongoDB.
  • It is best for storing huge amounts of data and it is the preferred type of DBMS by most large companies.
  • Some of the examples of top companies that use MongoDB include eBay, Metlife, EA(Electronic Arts), The New York Times, etc.
  • It supports horizontal scaling i.e. you can add servers for upscaling your system.
  • MongoDB itself has a very complex system for accessing and classifying the data and it can work with complex data very easily.
  • The term NoSQL means ‘not only SQL’. It simply means that data in a NoSQL database won’t be stored only one way like SQL databases but in many other forms also because it doesn’t have a predefined schema for storing and organizing data.

3. Which type of database is the right choice for you / SQL Vs MongoDB?

In my opinion, SQL databases like MySQL are the best choice for you to go with unless you have to deal with a complex and huge amount of data. If that is the case and you have to store complex and huge amounts of data then you should go with NoSQL databases or MongoDB to be more specific.

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4. Conclusion

This article takes the readers from the very basic concepts like what are databases to the comprehensive definitions of SQL databases and Mongo DB along with a detailed comparison. Now that you have read the article carefully, it is an easy job for you to choose the right option out of these two.

The purpose of discussing all the related concepts is to provide you with a proper understanding of SQL databases and MongoDB.

Also, let me know in the comment section what do you think about it and what is your preferred choice?

SQL Vs MongoDB: The Ultimate Guide To Learn How They Differ?
Article Name
SQL Vs MongoDB: The Ultimate Guide To Learn How They Differ?
Understand what is SQL Vs MongoDB, and Learn the 10 Least-Known and Most Practical Differences b/w them to make the right choice in [2022].
Publisher Name
Malik Kamal Akbar

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