CloudAMQP vs Redis comparison

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CloudAMQP

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Executive Summary

We performed a comparison between CloudAMQP and Redis based on real PeerSpot user reviews.

Find out what your peers are saying about IBM, Apache, Amazon Web Services (AWS) and others in Message Queue (MQ) Software.

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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

Ranking in other categories

Message Queue (MQ) Software (10th)

Redis

Average Rating

8.8

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

NoSQL Databases (3rd), Managed NoSQL Databases (6th), In-Memory Data Store Services (1st), Vector Databases (3rd), AI Software Development (9th)

Featured Reviews

HemantKumar7

Senior Site Reliability Engineer at a tech vendor with 501-1,000 employees

Reliable queues have handled heavy microservice traffic and prevent data loss in daily operations

The best features CloudAMQP offers include its ability to handle load efficiently. Without it, if there is a lack of requests coming from multiple consumers, it stores the data in the queue, and the lag will clear after consumption from the consumer side, ensuring no messages drop from CloudAMQP. Additionally, it can run tasks in the background so that it does not block any user requests. CloudAMQP is able to handle the load, and if I want to scale, I can scale the RabbitMQ nodes without any downtime. CloudAMQP has impacted our organization positively because it can handle a huge amount of data. I can have multiple RabbitMQ queues inside CloudAMQP and, as per my plan, purchase multiple queues that offer different capabilities. For example, the Tough Tiger plan allows sending a maximum of ten million messages per month with simultaneous connections of one hundred connections per queue, ensuring no traffic loss. For heavy environments, I can opt for Big Bunny queues, where I can handle one lakh messages per second if there is a huge amount of traffic. Additionally, I have a dedicated RabbitMQ broker as per my requirement, and according to my needs in CloudAMQP, there are different queue plans which I can select accordingly.

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Varuns Ug

Senior Software Developer at NIT

Caching has accelerated complex workflows and delivers low latency for high-traffic microservices

A few features of Redis that I use on a day-to-day basis and feel are among the best are extremely low latency and high throughput. Since Redis is in-memory, it makes it ideal for cases such as caching and rate limiting where response time is critical. TTL expiry support is very useful in Redis as it allows me to automatically evict stale data without manual cleanup, which is something I use heavily in my caching strategy. Another point I can mention is that the rich data structures such as strings, hashes, and even sorted sets are very powerful. I have used strings for caching responses and counters, whereas I have used hashes for storing structured objects. One more feature I can tell you about is atomic operations. Redis guarantees atomicity for operations such as incrementing a counter, which is very useful for rate limiting and avoiding race conditions in distributed systems. Finally, I want to emphasize that Redis is easy to scale and integrate, whether through clustering or using a distributed cache across microservices. Redis has impacted my organization positively by providing default support that is very useful. For metrics, in one of my core systems, introducing Redis as a distributed cache helped me achieve around an 80% cache hit rate, which reduced repeated downstream services. Real API latency also improved from around two seconds to approximately 450 milliseconds for P99. It also helped reduce the load on dependent services and databases, which improved overall system reliability.

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Quotes from Members

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

Pros

"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."

"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."

"Redis has multiple valuable features such as being a free and reliable open-source tool."

"Redis is good for distributed caching management."

"It is particularly efficient for cloud-based storage and operations."

"The solution is fast, provides good performance, and is not too expensive."

"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."

"It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology."

"I use Redis mostly to cache repeated data that is required."

"Redis is a simple, powerful, and fast solution."

More Redis pros

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."

"Redis could be improved by introducing a GUI to display key-value pair database information, as it is currently a CLI tool with no visual representation."

"There are some points where I feel Redis can be improved."

"There are some features from MongoDB that I would like to see included in Redis to enhance its overall efficiency, such as the ability to perform remote behaviour. MongoDB is more efficient in handling updates than deletions and is quicker in processing updates, but it can be slower regarding deletions. This can sometimes pose a challenge, especially when dealing with large datasets or frequent data manipulations that involve deletions. In such cases, I often rewrite columns or update values instead of directly deleting data, as it can be more efficient."

"In future releases, I would like Redis to provide its users with an option like schema validation. Currently, the solution lacks to offer such functionality."

"Redis should have an option to operate without Docker on a local PC."

"There is a lack of documentation on the scalability of the solution."

"There is room for AWS to provide more options for server types or a way to configure more or less memory for them."

"If we use a lot of data, it will eventually cost us a lot."

More Redis cons

Pricing and Cost Advice

Information not available

"The tool is open-source. There are no additional costs."

"Redis is an open-source product."

"Redis is not an overpriced solution."

"We saw an ROI. It made the processing of our transactions faster."

"Redis is an open-source solution. There are not any hidden fees."

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Top Industries

By visitors reading reviews

Construction Company

53%

Outsourcing Company

Comms Service Provider

Transportation Company

Financial Services Firm

24%

Computer Software Company

10%

Comms Service Provider

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	6
Large Enterprise	10

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?

Overall, Redis is a powerful and reliable tool, but there are a few areas for improvement. One limitation is that Redis is memory-based, so scaling can become expensive compared to disk-based syste...

What is your primary use case for Redis?

My main use case for Redis is caching frequently accessed data to improve performance and reduce database load. For example, I cache API responses and user-related data so that repeated requests ca...

What advice do you have for others considering Redis?

My main advice for those looking into using Redis is to focus on the use case; Redis excels where low latency is critical, such as caching, session management, or real-time features, rather than us...

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Product Reports

Message Queue (MQ) Software

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Also Known As

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Redis Enterprise

Overview

CloudAMQP offers a managed RabbitMQ service in the cloud, providing reliable message queuing for apps of any scale. It supports seamless integration with existing infrastructure, enabling efficient data handling and communication channels.

Designed for scalability and ease of use, CloudAMQP ensures high availability and robust performance in distributed systems. Its managed RabbitMQ service allows businesses to focus on application development without managing servers. Comprehensive monitoring tools and enhanced security features assist in maintaining optimal operations. With various deployment options, it caters to different business needs, facilitating growth and innovation.

What are the most important features of CloudAMQP?

Scalability: Automatically scale resources to meet demand without manual intervention.
High Availability: Ensure uptime with multiple regions and failover capabilities.
Security: Robust security features including encryption and private VPCs.
Monitoring: Comprehensive tools for real-time insight into queue performance.
Integration: Support for various plugins and extensions to enhance functionality.

What benefits and ROI should users look for in reviews?

Cost Efficiency: Reduced infrastructure costs with managed services.
Time Savings: Less time spent on maintaining infrastructure allows focus on core business.
Reliability: Confidence in system stability with high availability setups.
Flexibility: Adaptable to changing workloads and business requirements.
Support: Access to expert assistance and consultation services.

In specific industries, CloudAMQP is implemented to streamline processes that involve massive data exchanges, such as financial services for transaction processing and e-commerce for handling large volumes of customer data interactions. Its capability to process high-throughput and complex messaging patterns makes it a preferred choice for tech-driven industries looking to enhance their operational efficiency and system reliability.

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Redis offers high-speed, in-memory storage, renowned for real-time performance. It supports quick data retrieval and is used commonly in applications like analytics and gaming.

Renowned for real-time performance, Redis delivers high-speed in-memory storage, making it a favorite for applications needing quick data retrieval. Its diverse data structures and caching capabilities support a broad array of use cases, including analytics and gaming. Redis ensures robust scalability with master-slave replication and clustering, while its publish/subscribe pattern renders it reliable for event-driven applications. The solution integrates smoothly with existing systems, minimizing performance tuning needs. Although documentation on scalability and security could be improved, Redis remains cost-effective and stable, commonly utilized in cloud environments. Enhancing integration with cloud services like AWS and Google Cloud and refining GUI may improve usability.

What are the key features of Redis?

High Speed: In-memory data storage for swift access.
Scalability: Master-slave replication and clustering for growth.
Data Structures: Supports diverse types for varied uses.
Persistence: RDB snapshots and AOF logs ensure durability.
Integration: Seamless integration reduces tuning efforts.

What should users look for in Redis reviews?

Performance: Real-time data retrieval boosts efficiency.
Cost-Effectiveness: Stable, budget-friendly implementation.
Versatility: Suitable for diverse environments and platforms.
Reliability: Ensures data persistence and high availability.

Redis finds application across industries for tasks like caching to improve application performance and speed, minimizing database load. It enables real-time processing for session storage, push notifications, and analytics. As a messaging platform, Redis handles high traffic and supports replication and clustering for cross-platform scalability.

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

Message Queue (MQ) Software