MongoDB can be defined as a document-oriented NoSQL that you can use for storing the high volume of data. The popularity MongoDB is having, it got in the mid-2000s. It is available for use under the category of a NoSQL database.

Database Management systems of this type use dynamic schemas. This scheme means that you have the option to create records without giving the definition to the structure first. This definition includes types of fields and their values.

MongoDB gives you permission for changing the structure of the records. We can call this document after we add new fields or delete the already existing one.


You must be very familiar with this name. This is popular, widely used, and a familiar Database Management system. The name is inspired by the name of a girl “My”. This girl is the daughter of the co-founder Michael Widenius. The source code of MySQL is existing under the GNU GPL. MySQL projects have been managed, maintained, owned by the Oracle corporation.

It is defined as a Relational Database Management system. This works primarily on the model of the relational database. It makes the use of the database and its other administrators very easy and more flexible also.

MySQL is a relational database management system based on SQL – Structured Query Language. The application is used for a wide range of purposes, including data warehousing, e-commerce, and logging applications. The most common use for MySQL however, is for the purpose of a web database.

The most common use for MySQL however, is for the purpose of a web database. It can be used to store anything from a single record of information to an entire inventory of available products for an online store.

In association with a scripting language such as PHP or Perl (both offered on our hosting accounts), it is possible to create websites that will interact in real-time with a MySQL database to rapidly display categorized and searchable information to a website user.

If you are using MySQL, then you have to define the schema of your database according to your needs before. This also lets you set up the rules that are going to help you to govern the relationships between the different fields of your tables.

Key Differences

  • MongoDB makes the representation in the form of JSON documents. On the other hand, MySQL represents the data in the form of tables, rows, and columns.
  • If we talk about MongoDB, it is not needed for you to gives the definition of the schema whereas in MySQL it is necessary to define the tables and columns.
  • MongoDb does not give support to JOIN, but if we talk about MySQL it gives support to operations of JOIN.
  • The query language that is been used in MongoDB is JavaScript whereas Structured Query language(SQL) is being used by MySQL.
  • MongoDB is defined as an ideal choice if you have unstructured and or structured data. It is also having the potential for rapid growth. On the other hand, MySQL is a superb choice if you are having structured data and you are in need relational database that is very old and good.
  • If the majority of your services and works are based on the cloud then MongoDB is the best option for you. If you give priority to data security then MySQL can be the boon for you as in that field MySQL is a very useful option for you.

Why Use MongoDB?

With the rise in data all around the world, there has been an observable and increasing interest surrounding the wave of the non-relational database, also known as ‘NoSQL‘. Businesses and organizations are seeking new methods to manage the flood of data and are drawn toward the alternate database management tools and systems that are different from the traditional relational database systems. Here comes MongoDB into the picture.

I have mentioned some of the good reason for using MongoDB:

  • MongoDB provides you a very flexible and easily adaptable environment for the real business situations of the world and also the requirements.
  • You have the option to make queries for returning you certain types of fields with that same document.
  • MongoDB gives support to the field, range-based query, expressions that are regular, etc. for the search of the data that has been stored in that.
  • It can be said as the easiest Database management system that can be easily scaled up or down.
  • MongoDB helps you in using your internal memory in which you can store the working temporary dataset for which it becomes so faster to use.
  • It gives you options for both the primary and secondary indexes of any type of field.
  • MongoDB also gives encouragement to the replication of your database that you have designed.
  • MongoDB can be used in the form of a system for storing the files. This storage system is commonly called as GridFS.

Some Other Important Features:

  • MongoDB gives you many options and methods for performing aggregations options. This is done on the data like aggregation pipeline, map-reduce, or single objective aggregation commands.
  • It basically prefers to use JavaScript objects in the place where the procedure is being used normally.
  • MongoDB gives you permission for storing any type of file. This file can be of any size i.e. very large file or small file it doesn’t matter. This has no effect you stack of storing also.
  • It gives support to many types of special collections. This collection type includes TTL (Time-To-Live) for storing the data. This storing will be expired and get exhausted after a few days at a certain time.
  • The dynamic database schema that is been used in MongoDb is very popular. It is well known as the name of JSON.
  • You have the option for creating indexes for making the improvement in the performance of the searches and that too inside the MongoDB. In other words, Any field that is there inside MongoDb can be indexed.
  • If we talk about Replication then MongoDB can give you so much availability with replica sets that are very useful.
  • MongoDB has the capability to run over different servers. This is done with balancing on the load, and duplication of the data. It helps you in keeping the system up and running in case you face any hardware failure.

Why use MySQL?

I have mentioned some of the good reason for using MySQL:

  • It gives encouragement and support to some of the features like Master-Slave Replication, scale-out, etc.
  • This also includes features like offload Reporting, Geographic data distribution, and many more are there in the box that is useful.
  • It has very low overhead with the MyISAM storage engine when you are using it for reading and especially in case of applications.
  • MySQL also supports the memory storage engine for the tables that are frequently being used by you.
  • It also gives you an option named query cache for the use in repeatedly used statements.
  • There are so many sources to quickly and easily learn and also troubleshoot MySQL. These sources are blogs, white papers, books, and many more.

Features of MongoDB

Some of the important features that MongoDB is having are mentioned below:

  • Every database is consisting of a collection. As a result, these collections are consisting of documents that you want to store in that database.
  • It is having a wide range of fields with varying numbers of fields so, every document can be different from one another. This size as well as content can also be varying from document to document that is stored.
  • The structure of the document that MongoDB is having is totally dependent on how the developers are going to construct their classes and object in the respective programming language that is been used in the making of this structure.
  • Rows of the structure of MongoDB don’t need to be pre-defined. Instead of that fields can be created suddenly whenever it is needed by you for your work.
  • This gives you permission for representing the data in the form of hierarchical relationships. It has been done for storing the arrays, and also many other more complex structured that is very difficult to make and store easily for use.

Features of MySQL

Some of the important features that MySQL is having are mentioned below:

  • MySQL is defined as a community-driven Database Management system.
  • Its compatibility is very much useful as it is compatible with so many platforms that have been using all the major languages and middleware also.
  • MySQL also gives support to Multi-version concurrency control that is also very useful for you.
  • Compatibility is also one of the features as it is very compatible with the ANSI SQL standard.
  • It gives permission to log-based and trigger-based replication that is very useful for you.
  • MySQL is also very compatible with Object-oriented and ANSI SQL 2008.
  • It is multi-layered designed and also having independent modules with zero dependencies on anyone.
  • It fully consists of multi-threaded, and the thread that it uses is Kernel threads.
  • Servers that are available in this are combined in a DB or client-server model.
  • It gives encouragement to tools that are already built-in for the analysis of query as well as space and storage analysis also.
  • MySQL is having the capability to store any big amount of data, let’s say it can store up to 50 million-plus rows.
  • It is compatible with so many platforms, it can run on many types of UNIX and LINUX.

Difference between MongoDB and MySQL:



It makes the representation of the data in the form of JSON documents. It represents that data in the form of tables and rows.
If you are using MongoDB it’s not necessary to define the schema as pre-defined. You just have to do one thing drop in documents. You don’t even have a need to have the same fields. MySQL is having the requirement that you should define tables and columns before getting the option to store anything. Also, every single row in that particular table should be having the same columns.
MongoDB is having the structure that is already defined that can be further defined and adhered to according to the needs. Also, if you have a requirement for different documents, then it can have different types of structures also. It is already known that MySQL uses Structured Query Language (SQL) for access to the database. You don’t have the option of changing the schema of the database.
Languages that are supported by it are C++ and C. Languages that are supported by MySQL C++, C, and JavaScript.
The development in today’s time has been done by MongoDB, inc. It is being developed constantly by the Oracle Corporation.
MongoDB gives support to the replication that s already existing inside, sharding, and auto-elections of your choice. MySQL gives support to the master-slave replication as well as master replications also.
If you have indexed and it is not founded, then each document that is there in the collection will be scanned for the selection of the document that will offer you a match to your query statement that you have given. In this, if the indexed element is not found, then the database engine will have a need to scan the complete table for finding the relevant rows.
GPLv2/ Commercial license available OD. GNU AGPL v3.0/Commercial license available OD.
MongoDB is the best option for you if your services are majorly based on the cloud. If your main focus is on data security then MySQL can be the boon for you.
There are no restrictions on the Schema design on MongoDB. It has a requirement for defining the tables and columns before storing anything in it. Each of the rows in that table should have the same columns also.
MongoDB prefers the use of JavaScript as the query language. On the other hand, MySQL is already having a query language in its name itself. It uses Structured query language(SQL) as a query language.
MongoDB doesn’t give support and encouragement to JOIN. MySQL gives support and encouragement to JOIN.
It is having the capability to handle large data that are unstructured also. MySQL is a little bit slow if we compare it with MongoDB in dealing with large databases.
There is not any requirement for the definition of schema so there will be very little risk of getting an attack due to design. In MySQL risk of SQL inject the attacks.
At last, this can be the best choice if you are having unstructured data or structured data also and that data is having a potential for rapid growth. This can be an ideal choice for you if you are having structured data and you want a traditional database for storing the data.

Disadvantages of Using MongoDB:

Some of the cons or in other words disadvantages are mentioned below:

  • MongoDB is not so strong in ACID which stands for Atomic, Consistency, Isolation & Durability when we make any comparison with any other Relational Database management system.
  • If you are making the use of MongoDB then your transactions will be very complicated.
  • If you are using MongoDB, then there is n necessity for following the stored procedure or any functions, so you don’t have an option to implement any logic of your business logic at the level of the database. This you can perform in any of the relational database management systems.

Disadvantages of using MySQL:

Some of the cons or in other words disadvantages are mentioned below:

  • The transactions that are related to the catalog of the system are not consisting of ACID.
  • If the server gets crashed sometimes then it can cause the corruption of the catalog of the system.
  • The procedures that are already stored are not cacheable by you if you are using MySQL.
  • MySQL tables that have been used in this for the procedure or for the triggering are mostly already defined in the system.


Here is the end of the big comparison between MongoDB and MySQL. You can gain detailed knowledge from the article of both the two-component and make the decision which is better for you.

We will recommend you MongoDB as it consists of so many things that are not there in MySQL. No doubt MySQL is also very good but according to the needs and the requirements of the people. MySQL is having more disadvantages than MongoDB.

Everyone can make up their mind after reading this and you will be able to use the correct one for you. In short, there are so many reasons for choosing MongoDB over MySQL. We also have another article for 13 Reasons Why You Should Use GraphQL.