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Amazon DocumentDB vs MongoDB Atlas comparison

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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
8th
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
6.9
Number of Reviews
51
Ranking in other categories
Database as a Service (DBaaS) (5th), Database Management Systems (DBMS) (7th), AI Software Development (13th)
 

Mindshare comparison

As of November 2026, in the Managed NoSQL Databases category, the mindshare of Amazon DocumentDB is 5.8%, down from 8.1% compared to the previous year. The mindshare of MongoDB Atlas is 13.4%, up from 10.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Mindshare Distribution
ProductMindshare (%)
MongoDB Atlas13.4%
Amazon DocumentDB5.8%
Other80.8%
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.
Lintz Veloso - PeerSpot reviewer
IT Manager at a government with 11-50 employees
Developers have benefited from flexibility and performance but pricing has needed further attention
I am only familiar with databases and applications. I am from the development team and I am a user of database and cloud but I don't know the infrastructure. As a user, I deal with the Oracle Database. I know the organization has a license with the product. We don't utilize real-time analytics with MongoDB Atlas. I don't use MongoDB Atlas directly, so I don't know how it can be improved. I would place MongoDB Atlas at a medium level. I would rate it at a six or seven. I believe MongoDB Atlas can improve a little. My overall review rating for this product is six out of ten.

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."
"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."
"Migrations are easy using this product."
"Efficient data retrieval with millisecond fetch times sets it apart from RDS."
"The product is fast and easy to use."
"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."
"The initial setup of MongoDB Atlas is straightforward...It is a scalable solution."
"I am impressed with the tool's integrations."
"MongoDB is a NoSQL tool."
"It can store data as a flat file, similar to a file system."
"It is a scalable solution because we use quite a lot of data, and it handles it well."
"The most valuable feature is the schemaless architecture."
"It supports many functionalities, is easier to implement, and the only issue is speed."
"Its most valuable features are high availability and zero maintenance."
 

Cons

"The primary driver for our planned switch to Snowflake is that this client has to work with large JSON objects, each between four to six GB, and the schema is very wide with substantial free text."
"The technical support could be improved."
"However, when you need more volume or more registers, it becomes complicated because the performance adjustments and tuning are challenging."
"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."
"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."
"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 initial setup is not too difficult but can be somewhat tricky."
"We had some edge cases where scalability was an issue where a node went offline, and we had to deal with that."
"I am not an expert on what improvements could be made to MongoDB."
"We need improved query performance."
"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 biggest challenge we all have is an application layer level. One node is sitting in the APAC region, another node is sitting in the US and UK region. The seamless replication has to be lightning fast, but we haven't tested the scalability yet."
 

Pricing and Cost Advice

Information not available
"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."
"The purchasing process through the AWS Marketplace was very good."
"MongoDB Atlas is more cost-effective than Amazon DocumentDB. It also has a pay-as-you-go pricing model. Apart from the standard licensing cost, you must also pay to get MongoDB Atlas technical support, which is expensive."
"The solution is fairly priced."
"I am using the free version of the solution."
"The pricing is acceptable for enterprise tier."
"The pricing and licensing is great."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
9%
Manufacturing Company
15%
Financial Services Firm
12%
Construction Company
10%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise12
Large Enterprise23
 

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 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 needs improvement with Amazon DocumentDB?
We do not utilize Amazon DocumentDB's compatibility with MongoDB APIs because we do not have MongoDB in this client environment. There are current discussions about phasing out from AWS's Amazon Do...
What is your experience regarding pricing and costs for MongoDB Atlas?
Pricing-wise, MongoDB Atlas has a pay-as-you-go strategy. The documentation for MongoDB is very good; I have learned multiple things through reading it. The free tier is M0 for $0, which is suitabl...
What needs improvement with MongoDB Atlas?
MongoDB Atlas can be improved in a few ways. While the platform is feature-rich, some advanced configuration and performance tuning options have a learning curve, especially for teams that are new ...
What is your primary use case for MongoDB Atlas?
My main use case for MongoDB Atlas is for storing and managing semi-structured or rapidly evolving data where schema flexibility is important. A good example of how I have used MongoDB Atlas for ma...
 

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: September 2026.
920,769 professionals have used our research since 2012.