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

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."
"The fact is all of our users are happy with the stability and quick response times our solutions have."
"I like the document storage feature. It's pretty simple."
"One of the most valuable features of MongoDB is it is Its open source."
"The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."
"Opting for MongoDB could be beneficial, especially for storing large volumes of records, even for transient data."
"Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability."
"It stores historical data with ease. For example, if you are a healthcare member, then you will have multiple records of visits to the doctors. To store such data in Oracle Database, you have to create many records. You might also have duplication problems because your records are going in again and again, because of which the data warehouse and the maintenance cost will be huge. MongoDB is comparatively lightweight. It is a JSON extract. Once you define a schema and extract it, you can push all the relationships in any way you want. It is easier to define and get different types of transactions into MongoDB. It is also easier to set it up as compared to other solutions. MongoDB is a NoSQL database, which means it is a document DB in which you can store documents that you created in BSON. It is pretty fast in response. It is faster than relational databases because it does not define any primary keys, secondary keys, tertiary keys, and all those kinds of things."
"I find the integration with other tools very easy."
 

Cons

"The product should enable users to import data from various databases."
"It isn't easy to recognize entities with MongoDB."
"At the start, connecting to the database via Compass or through a direct ID was a challenge."
"The user interface is not as friendly as Oracle, which is something that can be improved."
"We find it difficult to incorporate MongoDB in some projects."
"People coming from RDBMS should have the flexibility to write queries in SQL that can be converted into JSON queries."
"I rate the support from MongoDB a four out of five."
"The MongoDB documentation can be a little complicated sometimes."
"The performance could be faster."
 

Pricing and Cost Advice

"The product is not expensive."
"This is an open-source solution."
"It's open-source."
"MongoDB is a bit expensive compared to its competitors."
"It's a community edition, so we do not pay anything."
"I only used the open-source version."
"It is rather expensive."
"MongoDB's pricing is not reasonable, but it is not as expensive as the others."
"I believe that MongoDB is free."
report
Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.
909,099 professionals have used our research since 2012.
 

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

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.
909,099 professionals have used our research since 2012.