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Amazon QLDB 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 QLDB
Ranking in NoSQL Databases
22nd
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
1
Ranking in other categories
No ranking in other categories
MongoDB Enterprise Advanced
Ranking in NoSQL Databases
2nd
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
82
Ranking in other categories
Open Source Databases (8th), Managed NoSQL Databases (4th)
 

Mindshare comparison

As of September 2026, in the NoSQL Databases category, the mindshare of Amazon QLDB is 1.8%, up from 0.6% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 12.7%, down from 16.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Mindshare Distribution
ProductMindshare (%)
MongoDB Enterprise Advanced12.7%
Amazon QLDB1.8%
Other85.5%
NoSQL Databases
 

Featured Reviews

BK
Technical Architect at a tech services company with 11-50 employees
A fast and affordable solution that is scalable and has a nice dashboard
The product enables the users to query results faster. It maintains all the versions of the changes done on a specific node. A traditional blockchain would take time, but Amazon QLDB is a bit faster. We have to do many operations in blockchain to read data, but QLDB comes with an easy syntax. The product provides a nice dashboard to view all the information.
AB
Co-Founder at Vsigma IT Labs Pvt Ltd
Have managed customer transaction data efficiently and supported high-demand workloads with reliable performance
The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I could see. I will not be able to clearly say there is currently a deficiency there. All our DBs are integrated with a backend data warehouse, not necessarily AWS. When third-party data warehouses are integrated, we are seeing some ETL job performance issues. It is a one-off scenario so we have not thoroughly done any troubleshooting on that. It could be platform or third-party related issue. From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.

Quotes from Members

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

Pros

"The product enables the users to query results faster."
"MongoDB has helped my organization by being able to handle large amounts of data."
"MongoDB is very valuable for us due to the large amount of entries that we can install in the database."
"This is a product that I can recommend to others."
"The most valuable feature of MongoDB is the ease of connections, aggregation, and queries."
"MongoDB is cool; there is a difference between relational databases and newer databases like MongoDB, and MongoDB is scalable and fast."
"MongoDB is also great for managing logs."
"I found that MongoDB is most valuable for storing school-related queries. It's also user-friendly, and I found no difficulty accessing it. Setting it up is easy too."
"It's easy to use."
 

Cons

"The product should enable users to import data from various databases."
"The MongoDB documentation can be a little complicated sometimes."
"MongoDB has a "heavy" architecture, which limits the scalability options."
"MongoDB is a very useful and convenient choice, but sometimes for more complex projects, there are certain niche requirements that appear, so using a different tool could be beneficial. It raises the complexity of the architecture, but it could be beneficial to the world, the features, the ease of the features which are being implemented."
"The performance could be faster."
"MongoDB should not be used for reporting, analytics, or number-crunching tasks."
"They could provide more documentation and examples for adding pipeline stages."
"There can be stability issues."
"I would like to see the scalability and security improved."
 

Pricing and Cost Advice

"The product is not expensive."
"MongoDB is an open-source solution."
"Our customers pay for yearly licenses for MongoDB."
"It is rather expensive."
"The pricing is favorable if you opt to install MongoDB on an Amazon EC2 instance as you won't have to pay for the extra Atlas services and can instead manage the scaling yourself. This allows for a cost-effective solution and using MongoDB on a small scale, I have been able to utilize it for free."
"I only used the open-source version."
"The solution is open source, so it is free."
"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
"I'm using the free version of MongoDB."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Manufacturing Company
8%
Outsourcing Company
8%
Comms Service Provider
7%
 

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

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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.
 

Also Known As

Amazon Quantum Ledger Database
No data available
 

Overview

 

Sample Customers

accenture, digital asset, health direct, klarna, osano, realm, smaato, splunk, wipro, zilliant
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Find out what your peers are saying about Microsoft, MongoDB, Redis and others in NoSQL Databases. Updated: September 2026.
913,806 professionals have used our research since 2012.