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Amazon DocumentDB vs MongoDB Atlas comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 2, 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
7th
Average Rating
8.2
Reviews Sentiment
5.0
Number of Reviews
5
Ranking in other categories
No ranking in other categories
MongoDB Atlas
Ranking in Managed NoSQL Databases
5th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
49
Ranking in other categories
Database as a Service (DBaaS) (3rd)
 

Mindshare comparison

As of August 2025, in the Managed NoSQL Databases category, the mindshare of Amazon DocumentDB is 9.1%, down from 13.7% compared to the previous year. The mindshare of MongoDB Atlas is 8.1%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases
 

Featured Reviews

Rubens Oliveira - PeerSpot reviewer
User appreciates ease of administration and cost-efficiency while highlighting performance challenges and tuning limitations
Amazon DocumentDB is a nice product when used for smaller registers about websites or when tabular information is needed. However, when you need more volume or more registers, it becomes complicated because the performance adjustments and tuning are challenging. It's very complicated because there aren't many parameters to adjust, and query optimization is difficult due to limited options. You only have methods and index creation available. Many customers tell me, 'I don't have another way. I need to change the instance type or add another node.'
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

"Migrations are easy using this product."
"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."
"There are many benefits to using Amazon DocumentDB, for example, regarding the price, you can start with a small database and when you need more performance, you can grow the database."
"Amazon DocumentDB is a simple solution."
"The product is simple to use and enterprise-ready. It is also open-source."
"The key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."
"I find MongoDB Atlas highly scalable and easy to use, with very good support."
"The features that I have found most valuable include the very easy integrations. The integrations are fantastic. I have not faced any challenges from the integration standpoint."
"The most valuable feature is the schemaless architecture."
"For security reasons, I prefer MongoDB Atlas. It supports role-based access control, so you have an entity for each individual."
"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 features, including built-in backup, all under the same roof, without the need for external tools."
"It enables us to get work done quickly and get to our data."
 

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."
"However, when you need more volume or more registers, it becomes complicated because the performance adjustments and tuning are challenging."
"The technical support could be improved."
"There's a bit of a learning curve at the beginning."
"The UI is not currently designed in a manner to make it possible for a non-technical person or a layman to update the database easily."
"They could explore ways to facilitate deploying MongoDB containers within the platform."
"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."
"From an improvement standpoint, MongoDB can improve security."
"There are some features that could be useful for the customers I work with, which are related to migration from on-prem to the cloud."
"The product's data aggregation feature needs to work faster."
"A few areas that we have noticed as being problematic with the MongoDB Atlas include user access to the platform. Currently, it is difficult to restrict and control what actions a user can perform within the solution, which poses a challenge from an internal auditing perspective."
"The replica side, like the venue, can be improved."
 

Pricing and Cost Advice

Information not available
"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
"The pricing and licensing is great."
"For me, MongoDB is expensive, but I think it is not so expensive for customers."
"I have seen the cost, and it was pretty cheap."
"Pricing could always be better."
"The pricing is acceptable for enterprise tier."
"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."
"In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars."
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Top Industries

By visitors reading reviews
Computer Software Company
23%
Financial Services Firm
17%
Manufacturing Company
10%
Government
6%
Computer Software Company
17%
Financial Services Firm
14%
Manufacturing Company
9%
Comms Service Provider
7%
 

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 price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.
What needs improvement with MongoDB Atlas?
There is nothing about MongoDB Atlas I would like to improve or any weak points at this time. I have not thought through what other features I would like to see included in future updates. MongoDB ...
 

Also Known As

No data available
Atlas, MongoDB Atlas (pay-as-you-go)
 

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: July 2025.
865,164 professionals have used our research since 2012.