No more typing reviews! Try our Samantha, our new voice AI agent.

Amazon QLDB vs MongoDB Enterprise Advanced comparison

Why PeerSpot?
 

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."
"The most valuable feature of MongoDB is the ease of connections, aggregation, and queries."
"Easier to maintain the data with its document-based storage."
"We've found the product to be scalable."
"It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings."
"MongoDB is comparatively lightweight; it is a JSON extract, and once you define a schema and extract it, you can push all the relationships in any way you want, making it easier to define and get different types of transactions into MongoDB and easier to set it up as compared to other solutions."
"The most valuable features of MongoDB are we have a lot of documentation and SQL-based applications that run on it."
"We can define security rules at the database level or the cluster level to grant or deny access to particular users."
"The feature I find most valuable is that it is easy to use and even a non-technical person will be able to understand it."
 

Cons

"The product should enable users to import data from various databases."
"Overall the solution is expensive."
"It isn't easy to recognize entities with MongoDB."
"Lacks sufficient scalability and elasticity."
"The solution should more easily integrate with custom code."
"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."
"Simplifying the aggregation framework would be an improvement."
"People coming from RDBMS should have the flexibility to write queries in SQL that can be converted into JSON queries."
"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."
 

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."
"The pricing is normal. Price-wise, the product is not too much expensive."
"I'm using the free version of MongoDB."
"MongoDB is not expensive."
"I believe that the licensing fees are paid on a yearly basis."
"You only have to pay for the paid version, not the open-source version."
"MongoDB is an open-source product."
"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
report
Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.
911,436 professionals have used our research since 2012.
 

Top Industries

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

Ask a question
Earn 20 points
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.
911,436 professionals have used our research since 2012.