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Table of contents
DynamoDB Vs MongoDB
Frequently Asked Questions
What is MongoDB?
What is DynamoDB?
What is the difference between MongoDB and DynamoDB?
What are the advantages of MongoDB?
What are the advantages of DynamoDB?
Last Updated: Mar 27, 2024

DynamoDB vs MongoDB

Author Aditya Gupta
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Dbms - Database management systems
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Hey, Ninjas! Imagine you have a bunch of toys, and you need a big container to store them. Similarly, if you have a large dataset, you would require a database to store and manage them.

DynamoDB VS MongoDB

In this blog, we will learn about the Two NoSQL databases, DynamoDB and MongoDB and their key differences.



DynamoDB is a NoSQL database service that Amazon Web Services (AWS) provide. It is used to store large datasets which are not in structured database format.

It is a budget-friendly cloud-based database service. The price of DyanmoDB depends upon the storage capacity. It is fully managed and serverless, and it can also be called a Key-Value NoSQL database service.


DynamoDB has many advantages over other databases.

  • DynamoDB is highly scalable, which means it can read or write large amounts of data in just a matter of milliseconds.
  • It can fetch large amounts of data very quickly and easily.
  • AWS takes care of all the updates in the DynamoDB database service, which makes it cost-effective.
  • It allows the developers to choose from the two data models of DynamoDB.


Here are some of the disadvantages of DynamoDB to consider before using it.

  • It supports limited types of data types compared to other NoSQL databases.
  • AWS manages DynamoDB, so things get difficult while transferring data to other databases.
  • The cost of DynamoDB increases with the volume of data and amount of usage. 
  • It isn't easy to query large and complex datasets due to limited querying options in DynamoDB.


Here are some of the applications of DynamoDB.

  • It is used to store financial information such as transaction history or account balances.
  • It can store and fetch IoT data such as cameras and sensors.
  • It is also used by gaming companies because of its high performance and scalability.
  • DynamoDB is used by the company, which relies on data analytics as it can store large amounts of data easily and quickly.
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Mongodb is a NoSQL database used to store unstructured and semi-structured data. It uses BSON-formatted documents to manage data. It is an open-source database that uses a document-based data model.

As the keys in the document are not fixed, transferring data from one environment to another is relatively easier than other NoSQL databases. MongoDB is used when there is a complex relationship between entities.


Here are some advantages of MongoDB.

  • The query language in MongoDB has various functions that make querying easy in MongoDB.
  • It is an open-source database that is free to use and distribute.
  • The data inside MongoDB is always accessible as it duplicates the data stored in it.
  • It supports many programming languages, including Javascript, making it useful for web apps.
  • Indexing and sharding help make it faster and reduce delays.


Now, let us discuss some of the disadvantages of MongoDB.

  • It has limited indexing and sharding options compared to other NoSQL databases, which reduces its performance.
  • While working with large databases, MongoDB consumes a large amount of memory.
  • MongoDB does not support Joins between collections, which makes querying difficult.


Here are some of the applications of MongoDB.

  • It is used in E-commerce websites and mobile apps due to its high performance and low latency.
  • Due to the flexibility of the MongoDB database model, it is also used in content management systems.
  • It is also used in the healthcare sector to store data of patients, such as lab results and previous medical records of a patient.

Also read, Recursive Relationship in DBMS

DynamoDB Vs MongoDB

Let us look at the comparison table between DynamoDB and MongoDB showing their features' differences.




Data Model

Key-Value and Document Oriented

Document-Based Data Model


AWS provides DynamoDB.

MongoDB is open source. 


DynamoDB can only be utilised in AWS Ecosystem.

MongoDB can be deployed on any cloud platform.


AWS secures DynamoDB.

As MongoDB is open-source, security features are added manually by developers.


It supports ACID ( Atomicity, Consistency, Isolation, and Durability) Transactions.

It does not support multi-document transactions.


Does not support Joins between tables

It does not support Joins between collections.


As AWS manages DynamoDB, cost depends on dataset size and storage use.

As MongoDB is open source, it is free to use.


Supports global and local Indexing per collection

It has Limited Indexing options per collection.

Programming Languages

It supports programming languages such as C, C++, Go, Java, JavaScript, PHP, Perl, Ruby, and Python.

It supports programming languages such as Java, JavaScript, Node.js, .NET, and PHP.


Real-Time Applications, Gaming Industry, Financial Institutions.

E-Commerce Websites, Healthcare Sectors, and Content Management Systems.


Also see, Checkpoint in DBMS

Frequently Asked Questions

What is MongoDB?

MongoDB is an open-source NoSQL database that provides a flexible and scalable data storage method.

What is DynamoDB?

DynamoDB is a NoSQL database service that Amazon Web Services (AWS) provide. It is used to store large datasets which are not in structured database format.

What is the difference between MongoDB and DynamoDB?

MongoDB and DynamoDB differ in how they organise data, handle growth, and communicate with the database.

What are the advantages of MongoDB?

MongoDB is a powerful tool for storing and handling data that can take lots of information, work really fast, and understand complex queries.

What are the advantages of DynamoDB?

DynamoDB is a highly scalable, high-performance, and highly available database that supports a flexible data model.


This article discusses the topic of DynamoDB and MongoDB and the key differences between them. We hope this blog has helped you enhance your knowledge of NoSQL Databases. If you want to learn more, then check out our articles.

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