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Amazon DocumentDB vs MongoDB Enterprise Advanced comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 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 Enterprise Advanced
Ranking in Managed NoSQL Databases
4th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
82
Ranking in other categories
Open Source Databases (9th), NoSQL Databases (2nd)
 

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 Enterprise Advanced is 10.3%, down from 11.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Managed NoSQL Databases Mindshare Distribution
ProductMindshare (%)
MongoDB Enterprise Advanced10.3%
Amazon DocumentDB5.8%
Other83.9%
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.
Romel Jr Zerna - PeerSpot reviewer
Software Engineer at Pioneer Dev AI
Document data has streamlined prototyping and now supports secure cloud deployments
I use the cloud version of the product. MongoDB Enterprise Advanced is from MongoDB, though I also use DigitalOcean as a third-party provider. Maybe it's all more about preferences. I think MongoDB Enterprise Advanced has weak support on the ORM side, particularly if you're using Prisma. I think mostly the focus now on the tools we have is PostgreSQL. MongoDB Enterprise Advanced is not really used that much on our side for production. It's not really a weak point. It's more of a double-edged sword. If you like document-based management databases and you don't want any migrations, then you go to MongoDB Enterprise Advanced. If you want more secure databases, then you use SQL. On the account management and the way you secure the connection strings, I have utilized advanced security features with MongoDB Enterprise Advanced. I think it's very expensive on the Atlas enterprise side. But if you go to other providers of MongoDB Enterprise Advanced, such as DigitalOcean, it may be harder to set up, but they can save you money.

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."
"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."
"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."
"It's super easy to develop a couple of solutions for clients with MongoDB, like a quick web page with no clear data structure that they need to spin up quickly to validate some sort of MDTP."
"The aggregation framework is really good, allowing a developer to build very complex queries."
"The most valuable features of MongoDB include the flexible schema for storing data, its replication capabilities with high availability through a replica set setup, and horizontal scalability using sharding."
"The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."
"It has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle."
"MongoDB has a simple data-loading interface."
"I think the document-based approach is valuable."
"Sharding is an excellent feature of MongoDB."
 

Cons

"There's a bit of a learning curve at the beginning."
"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."
"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."
"However, when you need more volume or more registers, it becomes complicated because the performance adjustments and tuning are challenging."
"The documentation for MongoDB is not very good and should be improved."
"MongoDB is the second option for non-critical processes at the moment. We do not yet trust it with critical items."
"It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required. I am not sure if such a feature is currently there. I hope there is good documentation for this."
"Some of the solution's transaction capabilities can be improved."
"The solution can be a bit tough to set up if you don't have knowledge about how the database works."
"MongoDB should improve its data loading part."
"When third-party data warehouses are integrated, we are seeing some ETL job performance issues."
"It isn't easy to recognize entities with MongoDB."
 

Pricing and Cost Advice

Information not available
"I currently use the solution's community edition which is free."
"I chose MongoDB because it is cost-effective compared to Oracle, which can be expensive. In addition, MongoDB has good performance and has not caused any issues while working with it. It has been a good choice for me."
"The pricing is normal. Price-wise, the product is not too much expensive."
"There is an enterprise license and it could be cheaper. We are using the free open source version."
"It's open-source."
"I believe that the licensing fees are paid on a yearly basis."
"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
"At the moment, all customers are using the community version."
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Top Industries

By visitors reading reviews
Outsourcing Company
15%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
9%
Financial Services Firm
14%
Manufacturing Company
9%
Outsourcing Company
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise13
Large Enterprise39
 

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?
I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an IP address, or you risk getting DDoS. Then if you're going for the Atlas one tha...
What needs improvement with MongoDB?
I don't really have a deep dive into it, but I see that MongoDB Enterprise Advanced has RAG and Vertex support. However, we really didn't use it because I think one thing also is that Prisma, the O...
What is your primary use case for MongoDB?
A typical use case for MongoDB Enterprise Advanced is mostly for the database, storing our data.
 

Overview

 

Sample Customers

Finra, The Washington Post, Freshop
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Find out what your peers are saying about Amazon DocumentDB vs. MongoDB Enterprise Advanced and other solutions. Updated: September 2026.
920,769 professionals have used our research since 2012.