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Dynamodb Vs Mongodb – Know The Difference

Many apps and services use databases as a fundamental part of their architecture. MongoDB and DynamoDB are two highly popular NoSQL databases opted for by developers. They are flexible and capable of storing large amounts of data.

Follow along as we gain in-depth knowledge about these innovative technologies.

Points at a Glance

To make learning easier and understand MongoDB in detail, watch this Tutorial that covers the complete course on MongoDB

Before we get to the differences between MongoDB VS DynamoDB, let’s first understand what each of these terms stands for.

What is MongoDB?


MongoDB was launched in 2009. It is a NoSQL database solution that is open-source in nature.

The document model is MongoDB’s main distinguishing feature.

Now that we understand MongoDB, let’s quickly understand what DynamoDB is.

What is DynamoDB?


Things like Web gaming and Ad Tech usually overburden relational database models. To overcome this issue, a new NoSQL database, known as DynamoDB was launched in 2012.

MongoDB and DynamoDB both are NoSQL databases.

So prior to learning what are the differences between them, it is important to understand SQL and NoSQL.

Difference between SQL and NoSQL

SQL is considered the parent language for databases. Although the classic model of a database is capable of providing consistency, it is not always able to scale large amounts of data. Therefore, to make this process more efficient NoSQL database came into existence.

Here’s a quick differentiation between SQL and NoSQL to help you understand better.

SQL(Structured Query Language):

NoSQL(Not Only SQL):

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Okay, now that we are aware of the difference between SQL and NoSQL databases, it’s finally time to look into the things that differentiate MongoDB from DynamoDB.

DynamoDB VS MongoDB


Career Transition


Have a look at the advantages as well as disadvantages of MongoDB to have a better understanding of the same.

Advantages and Disadvantages of MongoDB

Advantages and Disadvantages of MongoDB


MongoDB works in a much faster way as compared to other relational databases. In addition, it allows easier access to data with higher availability, due to its document-based model.

In MongoDB, the schemas are dynamic in nature. This means that data can be changed or added at any time from anywhere.

In the case of MongoDB, the concept of sharding is used, due to which the storage capacity can be expanded. In contrast to other SQL databases, MongoDB thus allows horizontal scalability.


Unlike other relational databases, the joining of documents in MongoDB can be extremely complicated:

This is because it does not support the joins functionality. This functionality can be added manually by coding it, but it will eventually result in higher consumption of time, consequently affecting the performance.

MongoDB makes use of a lot of memory. Due to its lack of Joins functionality, data duplication takes place which then leads to data redundancy. This causes a huge amount of storage space to be used up.

The document size in MongoDB is limited to 16MB only. In addition to that, the limit when it comes to the performance nesting of documents is only up to 100 levels.

We’ve seen the advantages and disadvantages of MongoDB, but what about DynamoDB? What are its pros and cons?

Let’s see…

Advantages and Disadvantages of DynamoDB

Advantages and Disadvantages of DynamoDB


DynamoDB is a fully managed database provided by AWS (Amazon Web Services). Users of DynamoDB don’t have to worry about its configuration, setup, and maintenance, as all these tasks are handled by AWS itself. This enables users to focus more on developing applications without wasting their time.

DynamoDB replicates table data over three availability zones in a single region. Due to this, recovery from any disaster is easy without causing service disruptions.

Moreover, the data can be replicated across multiple different locations by using DynamoDB global tables. This results in higher levels of redundancy and thus minimum data loss.

Unlimited virtual storage is provided to the users by DynamoDB. Additionally, it gives developers the freedom to extend the database only when the application begins to gather data rather than right away. Therefore, when deploying the database, reserve storage is not required.


Depending on the use case, DynamoDB gives customers the option to choose a suitable capacity allocation technique.

Although the on-demand approach’s flexibility enables seamless expansion, one of the major disadvantages of employing this strategy is its unpredictability and high costs.

There can be a maximum of 10 items and 400KB is the size limit for an item in DynamoDB.

DynamoDB provides limited querying options. If there are no indexes, there won’t be any querying allowed. To query the data, the users have the option of scanning the entire table. But this is an extremely tedious task to complete, let alone an expensive one.

Alright, now we know everything about MongoDB and DYnamoDB.

So, now the most important question: Which of them is better??..

Which to choose: MongoDB or DynamoDB?

Which to choose MongoDB or DynamoDB

Both MongoDB and DynamoDB are amazing technologies. Deciding which of these to choose solely depends on a case-to-case basis. It is not about which is better of the two but about which provides the features that are required for your specific project or use case.

However, it is equally important to be careful when selecting one. Factors such as user requirements, scale, functionality, and deployment play an important role in this process.

Here are a few points to keep in mind that can aid you in making your decision:

DynamoDB is the right fit for you if,

On the other hand,

MongoDB is the right fit for you if,

Here is a list of popular MongoDB Questions and answers, framed by our Industry experts, to help you prepare for your interview. Top MongoDB Interview Questions and Answers.


The database is considered the backbone of today’s data-driven industry. DynamoDB and MongoDB are two emerging NoSQL-based database services that are successfully replacing other traditional database systems. 

No matter which of the two technologies you opt for, both of them have their own benefits and are likely to succeed.

Still having doubts? No worries! Drop your queries on our Community Page and we’ll help you get through them!

The post Dynamodb Vs Mongodb – Know The Difference appeared first on Intellipaat Blog.

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