Amazon QLDB vs MongoDB comparison

Amazon Web Services (AWS) and MongoDB are both solutions in the NoSQL Databases category. Amazon Web Services (AWS) is ranked #14 with an average rating of 8.0, while MongoDB is ranked #1 with an average rating of 8.2. Amazon Web Services (AWS) holds a 0.5% mindshare in ND, compared to MongoDB’s 18.9% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 92% of MongoDB users who would recommend it.

Amazon QLDB

Read 1 Amazon QLDB review

159 Views
70 Comparison Views

100% willing to recommend

MongoDB

Read 79 MongoDB reviews

4,076 Views
3,191 Comparison Views

92% willing to recommend

Amazon QLDB

MongoDB

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon QLDB and MongoDB based on real PeerSpot user reviews.

Find out what your peers are saying about MongoDB, ScyllaDB, Microsoft and others in NoSQL Databases.

To learn more, read our detailed NoSQL Databases Report (Updated: March 2025).

Buyer's Guide

NoSQL Databases

March 2025

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Helped 849,686 peers since 2012

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

Ranking in other categories

No ranking in other categories

MongoDB

Ranking in NoSQL Databases

1st

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Open Source Databases (5th), Managed NoSQL Databases (9th)

Mindshare comparison

As of April 2025, in the NoSQL Databases category, the mindshare of Amazon QLDB is 0.5%, down from 0.5% compared to the previous year. The mindshare of MongoDB is 18.9%, down from 25.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases

Featured Reviews

Balasubramanyam Kamarapu

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.

Read full review

Uzair Faruqi

Head Of Analytics at Mjunction Services

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…

Read full review

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 community is great if you have problem."

"It can handle a lot of files quickly."

"The most valuable feature is the geometric information done with GeoJSON."

"The clustering is very good. It allows us to have high availability."

"It is easy to use."

"The aggregation framework is very powerful when elaborating on data."

"MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person."

"The most valuable feature of MongoDB is the predefined functions available when using Node.js. These functions simplify the query process, making it user-friendly and straightforward."

More MongoDB pros

Cons

"The product should enable users to import data from various databases."

"I'd like to see an ID generator. It's very technical but I don't think it has one, so we have to go to great lengths to work around that."

"At the start, connecting to the database via Compass or through a direct ID was a challenge."

"The stability could be better."

"MongoDB should support TypeScript."

"There can be stability issues."

"We'd like technical support to respond faster to queries."

"There should be better integration with other databases."

"MongoDB should improve its data loading part."

More MongoDB cons

Pricing and Cost Advice

"The product is not expensive."

"We are using the Community Edition of MongoDB."

"I currently use the solution's community edition which is free."

"It is rather expensive."

"This is an open-source solution."

"At the moment, all customers are using the community version."

"The solution is open source, so it is free."

"There is an annual subscription for the use of this solution."

"MongoDB's pricing is not reasonable, but it is not as expensive as the others."

More MongoDB pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

19%

Computer Software Company

15%

University

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Amazon QLDB?

The product enables the users to query results faster.

See all answers

What is your experience regarding pricing and costs for Amazon QLDB?

The product is not expensive.

See all answers

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.

See all answers

What do you like most about MongoDB?

MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.

See all answers

What is your experience regarding pricing and costs for MongoDB?

We use the free version of MongoDB, so there are no licensing costs.

See all answers

What needs improvement with MongoDB?

There is room for improvement in integrating MongoDB with agentive AI solutions. While solutions for other databases like SQL or PostgreSQL ( /products/postgresql-reviews ) already exist, MongoDB r...

See all answers

Comparisons

No data available

InfluxDB vs MongoDB

Compared 19% of the time

Couchbase vs MongoDB

Compared 12% of the time

Cassandra vs MongoDB

Compared 8% of the time

Milvus vs MongoDB

Compared 7% of the time

Qdrant vs MongoDB

Compared 5% of the time

More MongoDB Competitors

Product Reports

Buyer's Guide

NoSQL Databases

March 2025

Download Amazon QLDB product report

Buyer's Guide

MongoDB

April 2025

Download MongoDB product report

Also Known As

Amazon Quantum Ledger Database

No data available

Overview

Amazon QLDB is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log ‎owned by a central trusted authority. Amazon QLDB tracks each and every application data change and maintains a complete and verifiable history of changes over time.

Amazon Web Services (AWS)

MongoDB is a flexible and scalable NoSQL database solution that efficiently handles both structured and unstructured data. It is known for its ease of use, JSON capabilities, and efficient data handling, making it ideal for developer-friendly environments.

MongoDB stands out with features like sharding, geospatial indexing, and its open-source nature. Users find it fast and appreciate its seamless integration into different applications. Despite being powerful, it remains straightforward to set up and use, bolstered by a clustering and aggregation framework that enhances its functionality. While generally appreciated for its cost-effectiveness and broad application compatibility, there is room for improvement in security, enterprise integration, and the creation of more robust training and documentation resources. Enhancing performance and adding support for traditional relational database concepts could also prove beneficial.

What are MongoDB's most important features?

Scalability: Efficiently manages growing data volumes.
Flexibility: Supports structured and unstructured data with ease.
Sharding: Distributes data across multiple servers.
Geospatial Indexing: Enables location-based data handling.
Open-source: Wide community support and customization.

What benefits or ROI should users look for?

Cost-effectiveness: Reduces overall database management expenses.
Ease of Use: Simplifies database setup and maintenance.
Developer-friendly: Accelerates application development with supportive tools.
Scalable Solutions: Adapts to evolving business requirements.

MongoDB finds widespread application across industries like healthcare, logistics, and telecommunications. It efficiently powers IoT platforms, data analytics, and document management systems. Its schema flexibility and JSON storage capabilities make it ideal for real-time processing and multi-server databases, essential for handling large-scale data volumes in modern applications.

MongoDB

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, ScyllaDB, Microsoft and others in NoSQL Databases. Updated: March 2025.

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