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Amazon DocumentDB vs MongoDB Atlas comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 11, 2026

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
8.2
Reviews Sentiment
4.0
Number of Reviews
6
Ranking in other categories
No ranking in other categories
MongoDB Atlas
Ranking in Managed NoSQL Databases
3rd
Average Rating
8.4
Reviews Sentiment
7.2
Number of Reviews
50
Ranking in other categories
Database as a Service (DBaaS) (3rd), Database Management Systems (DBMS) (8th), AI Software Development (8th)
 

Mindshare comparison

As of January 2026, in the Managed NoSQL Databases category, the mindshare of Amazon DocumentDB is 8.1%, down from 9.9% compared to the previous year. The mindshare of MongoDB Atlas is 12.1%, up from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Atlas12.1%
Amazon DocumentDB8.1%
Other79.8%
Managed NoSQL Databases
 

Featured Reviews

Hemanth Perepi - PeerSpot reviewer
Technical Lead at Trianz
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
DB Architect / Consultant at Virtusa Global
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."
"Efficient data retrieval with millisecond fetch times sets it apart from RDS."
"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."
"Efficient data retrieval with millisecond fetch times sets it apart from RDS."
"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 key feature of MongoDB Atlas that has been helpful for us is the ease of deploying new databases."
"Object-based data storing capability and managing non-structured data capability are the most valuable features of MongoDB Atlas."
"The speed of it is the most valuable feature."
"What I found most valuable in MongoDB Atlas is its Elasticsearch feature. It also has high availability, so it's stable."
"Its most valuable features are high availability and zero maintenance."
"Administering the solution is easy."
"MongoDB Atlas is very easy to use and user-friendly, and you get what you're paying for."
"The product allows us to easily set up and store large amounts of unstructured data."
 

Cons

"The technical support could be improved."
"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."
"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."
"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 cost needs improvement."
"MongoDB Atlas should improve its user experience by providing better explanations or a wizard for people working with its UI."
"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."
"The cost needs improvement. The product is good, but the cost that we paid for it is expensive, so it wasn't that valuable."
"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."
"The web console isn't very intuitive, especially for large data."
"It would be great if it were easier to integrate MongoDB Atlas with AWS services. Technical support for MongoDB Atlas could be better."
"That is the only drawback that I find with MongoDB: creating the trigger."
 

Pricing and Cost Advice

Information not available
"The price of MongoDB Atlas is highly expensive to use and maintain. They are taking advantage of the users with such a high price."
"It is an open-source platform."
"The pricing is acceptable for enterprise tier."
"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 good. We originally chose it over DynamoDB because of the pricing."
"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."
"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."
"For our service, it was around 300 to 600 euros per month, which was acceptable for our customers."
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Top Industries

By visitors reading reviews
Computer Software Company
19%
Financial Services Firm
12%
Manufacturing Company
9%
Educational Organization
7%
Computer Software Company
13%
Financial Services Firm
12%
Manufacturing Company
12%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business23
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?
I have no idea about the pricing or setup cost with MongoDB Atlas.
What needs improvement with MongoDB Atlas?
I would say pricing is an area where MongoDB Atlas could improve.
 

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: December 2025.
881,082 professionals have used our research since 2012.