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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
21st
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
6.7
Number of Reviews
82
Ranking in other categories
Open Source Databases (5th), Managed NoSQL Databases (4th)
 

Mindshare comparison

As of June 2026, in the NoSQL Databases category, the mindshare of Amazon QLDB is 1.6%, up from 0.5% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 13.2%, down from 16.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Mindshare Distribution
ProductMindshare (%)
MongoDB Enterprise Advanced13.2%
Amazon QLDB1.6%
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.
FG
Architecte Cloud at Visiativ SA
Offers reliable engine for legacy needs but requires enhanced cost management and AI features
While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.

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 geospatial index feature is useful for dealing with latitude and longitude data."
"The installation is very stable."
"MongoDB is very valuable for us due to the large amount of entries that we can install in the database."
"It is very fast - faster than an SQL or MySQL Server."
"We capture more than 30 million records every week in IoT NS and MongoDB has been serving us well so far, making it easier to maintain the data with its document-based storage."
"MongoDB is the best choice for us when we want to store NoSQL-type data."
"The reports are useful for controlling the load of our whole architecture."
"We've found the product to be scalable."
 

Cons

"The product should enable users to import data from various databases."
"At the start, connecting to the database via Compass or through a direct ID was a challenge."
"It has certain limitations when it comes to handling hierarchical data, enforcing relationships, and performing complex joins, which should be taken into account when designing databases for applications with intricate data requirements."
"People coming from RDBMS should have the flexibility to write queries in SQL that can be converted into JSON queries."
"MongoDB should be more stable, and support should be more efficient."
"Its security features can be better. Sometimes, my higher authority says that we are not going to use MongoDB because it doesn't provide that much security for the RDBMS or relational data that we use for transactions."
"A normal Oracle or database tester will take some time to gear up to MongoDB because the way of writing queries is different in MongoDB."
"The performance of the solution could be improved."
"MongoDB is the second option for non-critical processes at the moment. We do not yet trust it with critical items."
 

Pricing and Cost Advice

"The product is not expensive."
"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."
"It is rather expensive."
"I believe that MongoDB is free."
"MongoDB is a bit expensive compared to its competitors."
"I'm using the free version of MongoDB."
"MongoDB's pricing is reasonable."
"MongoDB's pricing is not reasonable, but it is not as expensive as the others."
"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."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Manufacturing Company
9%
Computer Software Company
6%
University
6%
 

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 MongoDB, Microsoft, Redis and others in NoSQL Databases. Updated: May 2026.
900,644 professionals have used our research since 2012.