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Amazon QLDB vs MongoDB Enterprise Advanced comparison

 

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 (7th), Managed NoSQL Databases (6th)
 

Mindshare comparison

As of August 2026, in the NoSQL Databases category, the mindshare of Amazon QLDB is 1.7%, up from 0.5% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 13.1%, down from 15.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Mindshare Distribution
ProductMindshare (%)
MongoDB Enterprise Advanced13.1%
Amazon QLDB1.7%
Other85.2%
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."
"I like that MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
"The community is great if you have problem."
"MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person."
"I like its performance and the stability; it's very stable and, performance-wise, it's really great."
"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."
"Opting for MongoDB could be beneficial, especially for storing large volumes of records, even for transient data."
"Sharding is an excellent feature of MongoDB."
"The most valuable features of MongoDB are the variety of translations available and the ability to deploy it on the cloud is useful. The cloud users can access the data, work on the data, and if they want to import or manipulate some data they can."
 

Cons

"The product should enable users to import data from various databases."
"MongoDB has a "heavy" architecture, which limits the scalability options."
"The solution could have more integration."
"I don't see a lot of areas that need improvement."
"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."
"The solution should more easily integrate with custom code."
"The solution should have better integration."
"There are some problems with bugs appearing in sharding when the data is too high."
"I think it would be good to have more search options such as an index resource. This will provide more options and resources to do advance searches."
 

Pricing and Cost Advice

"The product is not expensive."
"There are different licenses available to be purchased, such as individual, premium, or enterprise."
"We use the open-source version, which is available to use free of charge."
"MongoDB is a bit expensive compared to its competitors."
"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."
"MongoDB's pricing is reasonable."
"I'm using the free version of MongoDB."
"MongoDB is not expensive."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Manufacturing Company
8%
Construction Company
7%
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: August 2026.
908,834 professionals have used our research since 2012.