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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
6.9
Number of Reviews
51
Ranking in other categories
Database as a Service (DBaaS) (3rd), Database Management Systems (DBMS) (3rd), AI Software Development (5th)
 

Mindshare comparison

As of February 2026, in the Managed NoSQL Databases category, the mindshare of Amazon DocumentDB is 7.4%, down from 9.9% compared to the previous year. The mindshare of MongoDB Atlas is 12.6%, up from 3.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Atlas12.6%
Amazon DocumentDB7.4%
Other80.0%
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.
Pranay Jain - PeerSpot reviewer
Senior software developer at Simplifyvms
Cloud database has supported charity platform growth and has improved team delivery speed
Setting up MongoDB Atlas is very easy, as I simply select the cluster and the size I want. There are free clusters available for testing real applications, and it is a NoSQL-based database that works well for both web and mobile applications, providing real-time analytics-driven solutions where flexible schema is the main priority.The best feature MongoDB Atlas offers is the flexible database schema that I can easily set up. It is easy to set up, has no server setup cost, requires no manual setting, and has no downtime. The platform automatically handles traffic spikes and includes built-in features such as storage, auto-scaling, automatic backup, and point-in-time recovery. Auto-scaling and backups have been instrumental in my project using MongoDB Atlas, especially when I moved from UAT to production. My customer base of more than 10 lakhs increased, and the system automatically scaled to handle those requests, ensuring the database could respond in time. MongoDB Atlas has an aggregation framework that handles complex analytics without requiring any extra tools. It also provides real-time updates and streaming capabilities. MongoDB Atlas has positively impacted my organization by reducing operational costs, as I do not need database administrators or server maintenance. It follows a pay-as-you-go strategy, allowing me to increase cluster size by simply paying more, which results in faster development and deployment processes. High availability is also provided through built-in replications and automatic failovers. My team consists of 18 people, and our uptime has improved to 99.9% and above. The delivery speed has increased, and I have reduced the delivery cycle by 30 to 50 percent.

Quotes from Members

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

Pros

"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."
"Migrations are easy using this product."
"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."
"Efficient data retrieval with millisecond fetch times sets it apart from RDS."
"Amazon DocumentDB is a simple solution."
"The auto-scaling feature is the most valuable aspect."
"The initial setup is straightforward."
"It has a flexible integration with our easy API."
"The solution is easily scalable and manageable. Tools can be easily added to the solution."
"Scalability is its most valuable feature, as it is pretty simple."
"The most valuable feature is that it's all web-based. So one can browse collections just from the web. MongoDB Atlas is very accessible, quick to understand, and quick to learn. People who have never used CLI can hop into the web interface and browse the database."
"This solution is very helpful due to its ease of use."
"It is a scalable solution because we use quite a lot of data, and it handles it well."
 

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."
"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."
"The technical support could be improved."
"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."
"However, when you need more volume or more registers, it becomes complicated because the performance adjustments and tuning are challenging."
"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."
"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."
"In the past, MongoDB offered more features for free, but now it's quite limited. The free version is limited, and you need to pay extra to fully utilize it. The pricing could be improved."
"During the configuration, we did some migrations where we had to reindex about 70,000 indexes, which took around an hour. They should improve this and optimize the indexing."
"The UI application for MongoDB crashes a lot, so we would have to use a third-party plugin to make it work."
"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 product's data aggregation feature needs to work faster."
"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
"The pricing and licensing is great."
"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."
"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 pricing is good. We originally chose it over DynamoDB because of the pricing."
"The price of MongoDB Atlas is highly affordable."
"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."
"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."
"It is an open-source platform."
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Top Industries

By visitors reading reviews
Computer Software Company
19%
Financial Services Firm
12%
Manufacturing Company
9%
Educational Organization
7%
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
11%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business24
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.
881,707 professionals have used our research since 2012.