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CloudAMQP vs Redis comparison

 

Comparison Buyer's Guide

Executive Summary

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

CloudAMQP
Average Rating
9.4
Number of Reviews
3
Ranking in other categories
Message Queue (MQ) Software (10th)
Redis
Average Rating
8.8
Reviews Sentiment
6.6
Number of Reviews
26
Ranking in other categories
NoSQL Databases (3rd), Managed NoSQL Databases (5th), In-Memory Data Store Services (1st), Vector Databases (3rd), AI Software Development (9th)
 

Featured Reviews

Tharun K - PeerSpot reviewer
Software Engineer at Bahwan CyberTek
Message queues have improved fuel station data flow and now provide faster front-end responses
The best features that CloudAMQP offers include handling server setup, RabbitMQ installations, upgrades, patching, maintenance, scaling, and backup. It is a fully managed RabbitMQ, allowing easy scaling without any downtime. CloudAMQP offers strong monitoring and alerting features that make managing the RabbitMQ environment much easier, providing real-time visibility into the queues, messaging rates, consumers, and memory usage through an easy-to-use dashboard. After using CloudAMQP, our efficiency has increased, and the data which is transferring from the fuel station has become easier and faster to communicate with our front-end application. The data which is queued in RabbitMQ is providing the fastest response to the front-end application.
RituRaj - PeerSpot reviewer
SDE 2 at Virtusa
Caching has improved response times and reduces database load for high-traffic applications
Redis is very reliable, but it could be improved in areas such as monitoring, debugging, and feasibility into memory use. Better built-in tools for observability would help teams manage it more effectively at scale. Managing memory efficiently and troubleshooting issues can sometimes require additional tooling, so these areas can also be improved.One practical challenge I experienced is managing memory efficiently. Since Redis is in-memory, we need to carefully configure eviction policies and monitor usage. Debugging cache-related issues such as stale data or cache invalidation can sometimes be tricky. Additionally, tuning memory usage and eviction policies needs to be planned very carefully.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Since using CloudAMQP, my organization has seen a very significant return on investment because there is no data loss, and I can recover the system timely."
"After using CloudAMQP, our efficiency has increased, and the data which is transferring from the fuel station has become easier and faster to communicate with our front-end application."
"CloudAMQP has positively impacted my organization as I have built an automation for scaling, which has helped the organization benefit from workload distribution and faster processes."
"Overall, Redis helps us design more efficient applications by improving performance while allowing our backend services to scale more effectively."
"The solution's technical support team is good...The solution's initial setup process was straightforward."
"The solution is fast, provides good performance, and is not too expensive."
"Redis is a simple service that does what it promises."
"The performance of Redis is very fast."
"Redis acts as an in-memory search tool that improves the speed of operations, allowing for quicker data retrieval and enhancing the performance of applications."
"Redis has had a positive impact by improving application performance, reducing database load, and making the system more scalable."
"The best thing about Redis is its ability to handle large amounts of data without frequently hitting the database. You can store data in temporary memory, especially for high-volume data."
 

Cons

"CloudAMQP can be improved as the pricing is a bit high, and if that could be reduced, it would be a great tool."
"CloudAMQP can be improved in a few ways, such as lowering the pricing at scale and keeping the pricing structure simpler."
"CloudAMQP can be improved, as sometimes while upgrading, for instance, if I am running a Big Bunny cluster and want to upgrade to Happy Hour, there is a lag or slowness while upgrading from one queue to another."
"The initial setup took some time as our technical team needed to familiarize themselves with Redis."
"Managing memory efficiently and troubleshooting issues can sometimes require additional tooling, so these areas can also be improved."
"The first challenge is memory limitations, as Redis is primarily in-memory, making memory usage a key constraint."
"The disadvantage of Redis is that it's a little bit hard to have too many clusters or too many nodes and create the clusters."
"Making management easier, especially for teams operating large Redis clusters, would be helpful."
"For the PubSub feature, we had to create our own tools to monitor the events."
"The initial setup of Redis was difficult, with a rating of two or three out of ten."
"The tool should improve by increasing its size limits and handling dynamic data better. We use the client ID or associate it with a key for static content. The solution will not be easy for a beginner. Unless you understand SQL data, it will be difficult to understand and use Redis. It also needs to be user-friendly."
 

Pricing and Cost Advice

Information not available
"Redis is an open-source product."
"Redis is not an overpriced solution."
"Redis is an open-source solution. There are not any hidden fees."
"We saw an ROI. It made the processing of our transactions faster."
"The tool is open-source. There are no additional costs."
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Top Industries

By visitors reading reviews
Construction Company
51%
Comms Service Provider
8%
Outsourcing Company
7%
Transportation Company
5%
Financial Services Firm
22%
Computer Software Company
9%
Comms Service Provider
6%
University
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise6
Large Enterprise10
 

Questions from the Community

What needs improvement with CloudAMQP?
CloudAMQP can be improved, as sometimes while upgrading, for instance, if I am running a Big Bunny cluster and want to upgrade to Happy Hour, there is a lag or slowness while upgrading from one que...
What is your primary use case for CloudAMQP?
Our main use case for CloudAMQP is that we are using it for RabbitMQ operations as a message broker, with CloudAMQP managing RabbitMQ. Apart from that, we use it for microservice communication. In ...
What advice do you have for others considering CloudAMQP?
My advice for others looking into using CloudAMQP is that if you are choosing any message broker, you can go directly to CloudAMQP. However, before making a choice, at least check their plans accor...
What needs improvement with Redis?
Making management easier, especially for teams operating large Redis clusters, would be helpful. More advanced built-in observability, performance insights, and automated recommendations would help...
What is your primary use case for Redis?
Redis is used primarily as a caching layer to provide a high-performance caching solution that improves application response times and reduces load on backend services and databases. We use it main...
What advice do you have for others considering Redis?
There are a couple of things to consider when using Redis. It is a supporting layer, not a main database. Identifying specific use cases where Redis can provide the most value, such as caching, ses...
 

Comparisons

 

Also Known As

No data available
Redis Enterprise
 

Overview

 

Sample Customers

Information Not Available
1. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips
Find out what your peers are saying about IBM, Apache, Amazon Web Services (AWS) and others in Message Queue (MQ) Software. Updated: August 2026.
909,725 professionals have used our research since 2012.