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Amazon QLDB vs MongoDB Enterprise Advanced comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 31, 2025

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
14th
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
1st
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
82
Ranking in other categories
Open Source Databases (4th), Managed NoSQL Databases (5th)
 

Mindshare comparison

As of October 2025, in the NoSQL Databases category, the mindshare of Amazon QLDB is 0.6%, up from 0.5% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 16.9%, down from 23.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Market Share Distribution
ProductMarket Share (%)
MongoDB Enterprise Advanced16.9%
Amazon QLDB0.6%
Other82.5%
NoSQL Databases
 

Featured Reviews

BK
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.
Uzair Faruqi - PeerSpot reviewer
Transforms data flow with adaptable schema and smooth public cloud deployment
One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…

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."
"The solution has good flexibility and very fast performance for searching data."
"The installation is very stable."
"I like the document storage feature. It's pretty simple."
"MongoDB stores the JSON data, and it's easy for me to understand because I'm a JavaScript Developer."
"Its flexibility, and cost. It is reasonably priced."
"MongoDB is cool. There is a difference between relational databases and newer databases like MongoDB. MongoDB is scalable and fast."
"I think that MongoDB isn't too structured, and that's good for our technical team because they are able to search through the database better than if they are using SQL Server."
"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."
 

Cons

"The product should enable users to import data from various databases."
"The solution should have better integration."
"MongoDB should not be used for reporting, analytics, or number-crunching tasks."
"It is important to note that MongoDB has limitations since it can only be used for specific use cases. For example, for master data, I would want to pick keys using an RDBMS, but for attachments, I would choose MongoDB."
"At the start, connecting to the database via Compass or through a direct ID was a challenge."
"Actually, with MongoDB, it's difficult to calculate the return on investment; it's too expensive for our use."
"MongoDB can improve large-size video or media frame operations. There are a lot of customers who want to upload media frames and video games but there is some difficulty. In MongoDB, we are looking out for solutions that are for large-size media files that can be saved and navigated efficiently."
"I think that MongoDB's search engine should be improved."
"The performance of the solution could be improved."
 

Pricing and Cost Advice

"The product is not expensive."
"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."
"We use the open-source version, which is available to use free of charge."
"The solution is open source so is free."
"You only have to pay for the paid version, not the open-source version."
"MongoDB is an open-source product."
"There are different licenses available to be purchased, such as individual, premium, or enterprise."
"There is an enterprise license and it could be cheaper. We are using the free open source version."
"MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or other features you will need to pay money. Overall the solution is expensive."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Computer Software Company
11%
Manufacturing Company
8%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise13
Large Enterprise37
 

Questions from the Community

What do you like most about Amazon QLDB?
The product enables the users to query results faster.
What needs improvement with Amazon QLDB?
The product should enable users to import data from various databases. It would be a nice additional improvement. It should also provide more instances.
What do you like most about MongoDB?
MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.
What is your experience regarding pricing and costs for MongoDB?
We pay approximately 2,000 euros per month for MongoDB.
What needs improvement with MongoDB?
I'm not sure about the documentation or the knowledge bases available for MongoDB because I don't interact with it at that level, but I would say it's minimal and could be improved. I am not experi...
 

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 MongoDB, Microsoft, ScyllaDB and others in NoSQL Databases. Updated: September 2025.
870,623 professionals have used our research since 2012.