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Amazon DocumentDB vs MongoDB Atlas comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 3, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Amazon DocumentDB
Ranking in Managed NoSQL Databases
5th
Average Rating
8.4
Reviews Sentiment
7.7
Number of Reviews
3
Ranking in other categories
No ranking in other categories
MongoDB Atlas
Ranking in Managed NoSQL Databases
6th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
48
Ranking in other categories
Database as a Service (DBaaS) (3rd)
 

Mindshare comparison

As of April 2025, in the Managed NoSQL Databases category, the mindshare of Amazon DocumentDB is 10.3%, down from 13.8% compared to the previous year. The mindshare of MongoDB Atlas is 5.7%. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases
 

Featured Reviews

Javed Zahoor - PeerSpot reviewer
Offers the ability to replicate data across different instances
Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other relational databases. This makes it great for startups. When we work with established systems where the structure is well-defined, the speed of DocumentDB becomes the most important factor. Compared to a relational database, scaling DocumentDB is easier because of its ability to replicate data across different instances. If you use a network-based storage service with your cluster, the primary instance doesn't even need a full local copy of the data, since it's accessible on the shared storage. That definitely contributes to scalability. AWS-managed services already handle a lot of the scaling complexity. We don't have to do anything.
Laksiri Bala - PeerSpot reviewer
Room for improvement in data handling leads to enhanced cost-effective data management performance
It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Amazon DocumentDB is a simple solution."
"Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other relational databases. This makes it great for startups."
"Migrations are easy using this product."
"The solution has a very intuitive user interface."
"Its most valuable features are high availability and zero maintenance."
"The product is user-friendly."
"The initial setup is straightforward."
"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."
"It can store data as a flat file, similar to a file system."
"MongoDB Atlas is a platform as a service and it has proven to be particularly valuable due to its self-managing nature. This has allowed us to minimize the amount of time and effort required to manage it, as it effectively manages itself. Additionally, it is a complete solution when looking at its features."
"Scalability is its most valuable feature, as it is pretty simple."
 

Cons

"One possible improvement could be a hybrid database solution, where parts of the application leverage a relational database alongside DocumentDB. If a system were heavily relational in nature, a database like PostgreSQL might be a good fit."
"There's a bit of a learning curve at the beginning."
"The technical support could be improved."
"The product's data aggregation feature needs to work faster."
"Searching and browsing through the collection must be made easier."
"If it could be cheaper, that would make us happy."
"When I edit a document from a document, a lot of clicking is involved, like changing data type manually from a drop-down. It would be super nice if I could just edit the document in a JSON format. The JSON-based document editor should have a multi-language feature. Also, it would be great if there was a connect option from Google Looker Studio."
"The product's file storage documentation needs improvement."
"MongoDB Atlas should add more APIs in their Terraform module because sometimes I find it difficult to find the resources in their Terraform model."
"I would like the solution to offer more integration capabilities since it is an area where the solution lacks."
"The import and export process needs improvement, i.e., getting in and out. Moving data from other databases into MongoDB, along with indexing, was challenging."
 

Pricing and Cost Advice

Information not available
"Pricing could always be better."
"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
"The solution is fairly priced. I rate the pricing a seven out of ten."
"The price of MongoDB Atlas is highly affordable."
"It is too expensive. They need to work on this."
"Comparing the price between the MongoDB and Microsoft SQL Server, we are using the enterprise edition of Microsoft SQL Server, which is more expensive than MongoDB."
"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."
"The pricing and licensing is great."
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Top Industries

By visitors reading reviews
Computer Software Company
23%
Financial Services Firm
17%
Manufacturing Company
11%
Government
6%
Computer Software Company
19%
Financial Services Firm
16%
Comms Service Provider
6%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What advice do you have for others considering Amazon DocumentDB?
Amazon DocumentDB offers us many useful features. It is definitely a solution that an organization in need of comprehensive and effective document management should invest its money into. We are im...
What do you like most about Amazon DocumentDB?
Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other ...
What is your experience regarding pricing and costs for Amazon DocumentDB?
The specific DocumentDB implementation we use is on the expensive side. We tend to use it strategically in complex systems, primarily for lookup capabilities. For simpler use cases, we often choose...
What do you like most about MongoDB Atlas?
There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple featu...
What is your experience regarding pricing and costs for MongoDB Atlas?
The pricing is quite acceptable and scalable. For our service, it was around 300 to 600 euros per month, which was acceptable for our customers. We could scale up for better performance and scale d...
What needs improvement with MongoDB Atlas?
I am not an expert on what improvements could be made to MongoDB. The service is continually evolving with new features while maintaining reasonable pricing, making it attractive for developers.
 

Also Known As

No data available
Atlas
 

Overview

 

Sample Customers

Finra, The Washington Post, Freshop
Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.
Find out what your peers are saying about Amazon DocumentDB vs. MongoDB Atlas and other solutions. Updated: March 2025.
845,712 professionals have used our research since 2012.