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IBM Cloud Pak for Integration vs Red Hat Integration 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

IBM Cloud Pak for Integration
Ranking in API Management
27th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
5
Ranking in other categories
Cloud Data Integration (19th)
Red Hat Integration
Ranking in API Management
43rd
Average Rating
7.0
Reviews Sentiment
5.4
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the API Management category, the mindshare of IBM Cloud Pak for Integration is 0.9%, up from 0.5% compared to the previous year. The mindshare of Red Hat Integration is 0.5%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
API Management Mindshare Distribution
ProductMindshare (%)
IBM Cloud Pak for Integration0.9%
Red Hat Integration0.5%
Other98.6%
API Management
 

Featured Reviews

Igor Khalitov - PeerSpot reviewer
Owner/Full Stack Software Engineer at Maraphonic, Inc.
Manages APIs and integrates microservices with redirection feature
IBM Cloud Pak for Integration includes monitoring capabilities to track the performance and health of your integrations. You can quickly roll back to a previous version if an issue arises. Additionally, it supports incremental deployments, allowing you to shift traffic to a new version of an API gradually. For example, you can start by directing 10% of traffic to the new version while the rest continue using the legacy version. If everything works as expected, you can gradually increase the traffic to the new version over time. IBM Cloud Pak for Integration has a client base that includes numerous organizations using AI and machine learning technologies. We leverage an open-source machine learning framework and integrate it with Kafka to help create and manage various products and data retrieval processes. For companies with private data, the framework first retrieves relevant data from a GitHub database, which is then combined with the final request before being sent to a language model like GPT. This ensures that the language model uses your specific data to generate responses. Kafka plays a key role by streaming real-time data from file systems and databases like Oracle and Microsoft SQL. This data is published to Kafka topics, then vectorized and used with artificial intelligence to enhance the overall process. It's like an old-fashioned approach. The best way is to redesign it with products such as Kafka. Overall, I rate the solution an eight out of ten.
CHEW YONG - PeerSpot reviewer
Principle Solution Architect at beans
Facilitates seamless integration while offering room for OpenShift flexibility
I am still a reseller for IBM products today. I focus on integration solutions. For integration, my clients are using CP4I. For CP4I, I'm using ACE-S, API Connect, and MQ. These are the three products I'm selling from IBM. My clients are using IBM App Connect on-premises. I basically sell open source, specifically Red Hat Integration for integration purposes. Red Hat Integration is part of the Red Hat Integration bundle, which includes two different software solutions bundled together with Red Hat. It's bundled with the OpenShift plus the foundation. I am a Principal Solution Architect. I would be available for them to reach out by email for any questions or comments regarding my review. I want to be a reference for them. I rate Red Hat Integration an eight out of ten.

Quotes from Members

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

Pros

"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"Cloud Pak for Integration is definitely scalable; that is the most important criteria."
"It is a stable solution."
"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."
"In general, the solution works very, very well."
"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."
"The most valuable features of Red Hat Integration lie in its ease of customization for business needs and the flexibility to design workflows according to specific requirements."
"Real-time event streaming is good because you can do real-time data insight, monitor any event that happens, take the action, and provide a real-time dashboard based on certain data."
 

Cons

"The initial setup is not easy."
"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated."
"Its queuing and messaging features need improvement."
"The pricing can be improved."
"Enterprise bots are needed to balance products like Kafka and Confluent."
"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."
"What needs to be improved is the restriction that they have on the product."
"The performance of a few computations for the message broker version could be more stable."
 

Pricing and Cost Advice

"The solution's pricing model is very flexible."
"It is an expensive solution."
"It is an expensive platform and not suitable for small companies."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Government
11%
Manufacturing Company
8%
Insurance Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with IBM Cloud Pak for Integration?
Enterprise bots are needed to balance products like Kafka and Confluent.
What is your primary use case for IBM Cloud Pak for Integration?
It manages APIs and integrates microservices at the enterprise level. It offers a range of capabilities for handling APIs, microservices, and various integration needs. The platform supports thousa...
What advice do you have for others considering IBM Cloud Pak for Integration?
IBM Cloud Pak for Integration includes monitoring capabilities to track the performance and health of your integrations. You can quickly roll back to a previous version if an issue arises. Addition...
What needs improvement with Red Hat Integration?
The disadvantage of Red Hat Integration is that it has to be tightly coupled to the OpenShift platform, so I couldn't run it on any platform other than OpenShift.
What advice do you have for others considering Red Hat Integration?
I am still a reseller for IBM products today. I focus on integration solutions. For integration, my clients are using CP4I. For CP4I, I'm using ACE-S, API Connect, and MQ. These are the three produ...
What is your primary use case for Red Hat Integration?
The use cases for Red Hat Integration are integration and transformation.
 

Overview

 

Sample Customers

CVS Health Corporation
Information Not Available
Find out what your peers are saying about IBM Cloud Pak for Integration vs. Red Hat Integration and other solutions. Updated: April 2026.
893,221 professionals have used our research since 2012.