MongoDB Tutorials For Beginners and Professionals

MongoDB Tutorials

MongoDB Tutorials For Beginners and Professionals

Hello and welcome to this MongoDB Tutorials for Beginners and Professionals Course. This MongoDB Tutorial will take you through most of the practical applications of MongoDB. In this MongoDB Tutorials For Beginners and Professionals Series, we are going to cover all the concepts of Mongo DB with Real-Time Examples. You will learn from the very basic to the advanced level features of MongoDB as you progress in this Course.

This MongoDB Tutorial is for whom?

This Mongo DB Tutorial is designed for students, beginners as well as professional developers who want to learn MongoDB step by step from the very basic to the advanced concept using real-time examples and also find a lot of useful information on the new MongoDB features and advanced techniques. 

What is MongoDB?

MongoDB is an open-source NoSQL database. Here NoSQL database means it does not store data in tables like RDBMS. It is also known as a document-oriented database because all the data stored in MongoDB is in documents not in tables.

MongoDB is generally designed to store and manage large amounts of data efficiently. It was developed by MongoDB.Inc under Server-Side Public License (SSPL). It was initially released in 2009 and written in C++. It provides official drivers for most programming languages like C++, C#, GO, Java, Python, Ruby, Scala, Swift, etc. so that you can easily create applications with the help of these programming languages. The main agenda for developing MongoDB is high availability, high performance, can handle large amounts of data efficiently, scalability, etc.

How does data store in MongoDB?

Now we will understand how data will be stored in MongoDB. As we know that MongoDB structure is based on the client-server model where the server accepts connections from the clients and perform actions on the database and a server is continuously running to connect the client and database. In MongoDB, data is stored in documents, and documents are grouped in collections, and collections are stored in the database.

Mongo DB Tutorials For Beginners and Professionals

Database: MongoDB Database is used to store collections and documents. A single database can hold multiple collections and documents.

Collection: In MongoDB, a collection is a group of documents. A single collection is schema-less and can contain multiple documents.

Document: In MongoDB, documents are used to store all the data in the form of fields and fields are key-value pairs. It has a dynamic schema which means that it is not necessary that all the documents present in the collection have the same set of fields or structures. MongoDB uses the BSON (Binary JSON) format to store data. Whenever JSON data is entered into the database the MongoDB server will automatically convert the JSON files into BSON, so that the user can easily perform queries and the maximum size of the BSON document is 16MB. Following the simple structure of the document:

     name: ‘DotnetTutorial’
     course: ‘MongoDB’
     author: ‘Mickey’

Features of MongoDB

Following are the features of MongoDB:

  1. Indexing: It is the major concern of every database. Indexing each and every document properly helps the database to improve search speed and performance. MongoDB provides a broad range of indexes and features with language-specific sort orders.
  2. Sharding: It is an important feature of MongoDB. It is a process in which a large amount of dataset is split into several distributed instances.
  3. Schema-less database: It is an important feature of MongoDB. Schema-less database means a single collection can contain multiple documents and these documents can contain multiple fields, data, etc. Due to this feature, MongoDB provides excellent flexibility to the database.
  4. Replication: When the data is stored on a single server then there are lots of possibilities or points where the failure occurs like server crash, old hardware failure, service interruption, etc. So, to overcome such problems MongoDB introduced replication. In this process, multiple copies or replica sets of data are created on the physically isolated servers to increase the data availability and durability.
  5. Document-Oriented Model: MongoDB is purely a document-oriented database which means the data is stored in the documents, not in tables and the documents are further grouped in the collection. Document oriented model is more helpful for developers because in this model the data stored in the document is self-contained and can be treated as objects due to which the developers are more focused on data rather than on how to store data on different tables.
  6. High performance:
  7. Load balancing: It is the main feature on which every database company works. Fortunately, MongoDB supports replication, sharing, etc. due to which it can easily manage the large-scale load balancing.
  8. Authentication: Security is the main feature of MongoDB so that only authorized users can access the database. It provides various authentication mechanisms for its users. The commonly used authentication is SCRAM (Salted Challenge Response Authentication).
  9. Ad-Hoc Queries: MongoDB provides good support to ad-hoc queries due to which we can easily access the specific field or document from the database.
Where do we use MongoDB?

Nowadays MongoDB is used in various applications and some of the most commonly used are:

  1. Big data
  2. Data hub
  3. Managing user data and content
  4. Developing mobile and social infrastructure
  5. Real-Time Data Integration
Advantages of MongoDB

Following are the advantages of MongoDB:

  1. MongoDB provides a fully cloud-based application data platform.
  2. It provides flexible document schemas.
  3. It provides code native access.
  4. It provides more powerful queries and analytics.
  5. It has high performance.
  6. It can be easily installed in your system.
  7. It is cost-effective.
Disadvantages of MongoDB

Following are the disadvantages of MongoDB:

  1. It supports limited nesting which means you are not allowed to nest more than 100 documents.
  2. It has a limited data size which means the maximum size of the document is 16 MB.
  3. It uses high memory.
  4. It does not support joins.
Differences Between MongoDB vs MySQL Database


  1. It stores data on documents.
  2. It does not require any schema to store data
  3. It does not support JOINs.
  4. It is an unstructured/structured database
  5. It is faster than MySQL.


  1. It stores data on tables.
  2. It required schema to store data.
  3. It supports JOINs.
  4. It is a structured relational database.
  5. It is slower than MongoDB.
What do I need to know before learning Mongo DB?

There are no prerequisites to learn Mongo DB and it is easier to learn but make sure before learning Mongo DB, you must have a basic knowledge of computer fundamentals. 

What do we expect from you?

We will try our level best to cover all the MongoDB-related concepts, but in the meantime, if you have any specific concept in your mind that you want us to cover or If we missed any concepts or topics in this MongoDB Tutorials that are related to MongoDB, then please let us know by putting a comment in the comment box and we promise you, as soon as possible we will put an article on that topic. You can also contact us by Email:

Last but not the least, your valuable feedback is very important and means a lot to us. So, if you have a few minutes, then please let us know your thoughts and feedback on this MongoDB Tutorials. Please join our Telegram Channel to learn more and clear your doubts on MongoDB, SQL Server, MySQL, and Oracle Databases. Also, join our SQL Server, MongoDB, MySQL, and Oracle Facebook Group to learn and share your thoughts on MongoDB, SQL Server, MySQL, and Oracle.

Course Information

Course Instructor

Dot Net Tutorials Dot Net Tutorials Author

Author: Pranaya Rout Pranaya Rout is a Senior Technical Architect with more than 11 Years of Experience, Microsoft MVP, Author, YouTuber, and Blogger eager to learn new technologies. Pranaya Rout has published more than 3,000 articles in his 11-year career. Pranaya Rout has very good experience with Microsoft Technologies, Including C#, VB, ASP.NET MVC, ASP.NET Web API, EF, EF Core, ADO.NET, LINQ, SQL Server, MYSQL, Oracle, ASP.NET Core, Cloud Computing, Microservices, Design Patterns and still learning new technologies.

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