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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
3rd
Average Rating
8.2
Reviews Sentiment
4.0
Number of Reviews
6
Ranking in other categories
No ranking in other categories
MongoDB Atlas
Ranking in Managed NoSQL Databases
4th
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 September 2025, in the Managed NoSQL Databases category, the mindshare of Amazon DocumentDB is 7.8%, down from 13.2% compared to the previous year. The mindshare of MongoDB Atlas is 9.7%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Market Share Distribution
ProductMarket Share (%)
Amazon DocumentDB7.8%
MongoDB Atlas9.7%
Other82.5%
Managed NoSQL Databases
 

Featured Reviews

Hemanth Perepi - PeerSpot reviewer
Supports high-level data management and secure migration
Over the past few months, I’ve been working closely with a managed database service, and a few features stood out as game changers for me and my team: MongoDB Compatibility – The seamless migration experience was a huge win. No need to rewrite code or change drivers, which meant less friction and faster adoption for our developers. Fully Managed Service – Patching, backups, and monitoring are all automated. This freed up our team to focus on building applications instead of managing infrastructure. Separation of Compute & Storage – The flexibility to scale compute and storage independently gave us both cost savings and better performance optimization. Multi-AZ High Availability – Automatic failover and cross-AZ replication gave us peace of mind with improved uptime and disaster recovery. Performance at Scale – Even with large datasets, performance has remained consistent. Read replicas and efficient indexing have been especially valuable for read-heavy workloads. Security – End-to-end encryption, VPC isolation, and IAM integration made enterprise-level security feel straightforward and reliable. Backup & Recovery – Point-in-time recovery with automated backups made data protection effortless.
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

"Efficient data retrieval with millisecond fetch times sets it apart from RDS."
"Migrations are easy using this product."
"Efficient data retrieval with millisecond fetch times sets it apart from RDS."
"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."
"Amazon DocumentDB is a simple solution."
"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."
"The solution is easily scalable and manageable. Tools can be easily added to the solution."
"It has a flexible integration with our easy API."
"I find MongoDB Atlas highly scalable and easy to use, with very good support."
"You can start quickly on projects which allow you to store many things."
"The most beneficial MongoDB features for our workload are the ability to scale up and down using automatic sharding and clustering."
"The auto-scaling feature is the most valuable aspect."
"MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases."
"The product is user-friendly."
 

Cons

"The technical support could be improved."
"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."
"Improvements for Amazon DocumentDB could focus on enhancing high availability, sharding methods, replication techniques, and automatic failover in case the primary goes down, as continuous backup is an excellent option for disaster recovery."
"There's a bit of a learning curve at the beginning."
"Improvements for Amazon DocumentDB could focus on enhancing high availability, sharding methods, replication techniques, and automatic failover in case the primary goes down, as continuous backup is an excellent option for disaster recovery."
"MongoDB Atlas should support containerization."
"I would like the solution to offer more integration capabilities since it is an area where the solution lacks."
"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."
"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."
"The speed when combining two documents is concerning."
"An area for improvement in MongoDB Atlas is that it does not support individual or personal database backup, though it supports cloud cluster backup."
"The cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable."
"One improvement that I would like to see is a feature to export changes made in the environment, such as creating a new user."
 

Pricing and Cost Advice

Information not available
"For me, MongoDB is expensive, but I think it is not so expensive for customers."
"The solution is expensive overall. It does not require a license but if you want the support then you will need to purchase the license. They use a pay-as-you-go model and you are able to receive some discounts by making longer usage commitments."
"The pricing is good. We originally chose it over DynamoDB because of the pricing."
"The solution is fairly priced. I rate the pricing a seven out of ten."
"The pricing is acceptable for enterprise tier."
"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
"We're currently using the Atlas for the night and don't require a license. However, it can be a problem if you want to use their enterprise environment. Then you need to purchase the license."
"The tool is free since it's an open-source product."
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Top Industries

By visitors reading reviews
Computer Software Company
24%
Financial Services Firm
18%
Manufacturing Company
9%
Government
6%
Computer Software Company
16%
Financial Services Firm
14%
Manufacturing Company
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business22
Midsize Enterprise10
Large Enterprise20
 

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 pricing and licensing of Amazon DocumentDB is managed directly by the client team with the vendor, so I am not involved in that aspect.
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.
867,676 professionals have used our research since 2012.