IBM Event Streams vs Redis comparison

IBM and Redis are both solutions in the Message Queue (MQ) Software category. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of Redis users who would recommend it.

IBM Event Streams

Read 3 IBM Event Streams reviews

546 Views
388 Comparison Views

100% willing to recommend

Redis

Read 26 Redis reviews

6,090 Views
1,157 Comparison Views

100% willing to recommend

IBM Event Streams

Redis

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between IBM Event Streams and Redis based on real PeerSpot user reviews.

Find out in this report how the two Message Queue (MQ) Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed IBM Event Streams vs. Redis Report (Updated: April 2026).

Buyer's Guide

IBM Event Streams vs. Redis

April 2026

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Helped 886,077 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

IBM Event Streams

Average Rating

8.4

Reviews Sentiment

7.8

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 (4th), Managed NoSQL Databases (5th), In-Memory Data Store Services (1st), Vector Databases (4th), AI Software Development (12th)

Featured Reviews

Ismail El-Dahshan

CEO at areebah

Easy to set up with good support and good routing scenarios

The triggering and the events that they have triggered as well as the route of the message according to the events are very useful. The triggering scenarios and routing scenarios are all good. It's a very useful solution for financial institutions. The initial setup is pretty straightforward. The stability has been good. I've found the product to be scalable. Technical support is responsive.

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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

"I'm an administrator, and what I like most is the interface, the security, and the storage."

"The triggering scenarios and routing scenarios are all good, making it a very useful solution for financial institutions."

"The stability has been good."

"I am happy with the product, other than pricing I don't have any other improvements that I can suggest."

"The system efficiently processes and calculates the data flow within the cluster using DLP functionality."

"The in-memory data makes it fast."

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

"The solution's technical support team is good...The solution's initial setup process was straightforward."

"The ability to fetch and save data quickly is valuable."

"The online interface is very fast and easy to use."

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

"The most valuable features of Redis are its ease of use and speed. It does not have access to the disc and it is fast."

"What I like best about Redis is its fast and easy use. It has interesting algorithms like HyperLogLog and provides useful features. It's also good for implementing scalable rate limiting."

More Redis pros

Cons

"In the next release, I would like to see the GUI allow you to configure the security section."

"The product's interface needs improvement."

"It would be helpful if they could help us explain why they, as in, the customers, should use the product and the overall benefits."

"The pricing needs to be improved."

"It would be helpful if they could help us explain why they, as in, the customers, should use the product and the overall benefits."

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

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

"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."

"For the PubSub feature, we had to create our own tools to monitor the events."

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

"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."

"It's actually quite expensive."

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

More Redis cons

Pricing and Cost Advice

"The platform is averagely priced."

"The pricing needs to be improved."

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

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

"Redis is not an overpriced solution."

"Redis is an open-source product."

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

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Top Industries

By visitors reading reviews

No data available

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	11
Midsize Enterprise	6
Large Enterprise	9

Questions from the Community

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What do you like most about Redis?

Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you u...

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What needs improvement with Redis?

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. The sync between the nodes is easier to implement with Couchbase, for e...

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What is your primary use case for Redis?

Redis is used for a part of a booking engine for travel, specifically for the front part to get some sessions and information about the sessions. If a customer or user is using the sites in differe...

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Comparisons

Red Hat AMQ vs IBM Event Streams

Compared 26% of the time

IBM MQ vs IBM Event Streams

Compared 24% of the time

Apache Kafka vs IBM Event Streams

Compared 15% of the time

Oracle Event Hub Cloud Service vs IBM Event Streams

Compared 14% of the time

Amazon MQ vs IBM Event Streams

Compared 14% of the time

More IBM Event Streams Competitors

Oracle Coherence vs Redis

Compared 6% of the time

Upstash vs Redis

Compared 6% of the time

Hazelcast Platform vs Redis

Compared 6% of the time

Red Hat Data Grid vs Redis

Compared 5% of the time

Azure Cache for Redis vs Redis

Compared 5% of the time

More Redis Competitors

Product Reports

Buyer's Guide

Message Queue (MQ) Software

March 2026

Download IBM Event Streams product report

Buyer's Guide

Redis

March 2026

Download Redis product report

Also Known As

No data available

Redis Enterprise

Overview

Built on open source Apache Kafka, IBM Event Streams is an event-streaming platform that helps you build smart applications that can react to events as they happen. IBM Event Streams is based on years of operational expertise IBM has gained from running Apache Kafka event streams for enterprises

IBM

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.

Redis

Sample Customers

American Airlines, UBank, Bitly, Eurobits, Active International, Bison, Contextor, Constance Hotels, Resorts & Golf, Creval, Deloitte, ExxonMobil, FaceMe, FacePhi, Fitzsoft, Fuga Technologies, Guardio, Honeywell, Japanese airline, Jenzabar, KONE

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

Buyer's Guide

IBM Event Streams vs. Redis

April 2026

Free Report: IBM Event Streams vs. Redis

Find out what your peers are saying about IBM Event Streams vs. Redis and other solutions. Updated: April 2026.

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