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IBM API Connect vs IBM Cloud Pak for Integration comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 17, 2024

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 API Connect
Ranking in API Management
8th
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
80
Ranking in other categories
Integration Platform as a Service (iPaaS) (13th)
IBM Cloud Pak for Integration
Ranking in API Management
29th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
5
Ranking in other categories
Cloud Data Integration (20th)
 

Mindshare comparison

As of August 2026, in the API Management category, the mindshare of IBM API Connect is 4.6%, down from 6.3% compared to the previous year. The mindshare of IBM Cloud Pak for Integration is 1.0%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
API Management Mindshare Distribution
ProductMindshare (%)
IBM API Connect4.6%
IBM Cloud Pak for Integration1.0%
Other94.4%
API Management
 

Featured Reviews

Mehdi-El Filahi - PeerSpot reviewer
Middleware Tech Lead at MQnovaTool
API management has strengthened security and monitoring but still needs better support and tooling
There are areas of IBM API Connect that need to be improved. I want what Gravitee made, which is much better. Gravitee made many samples for different use cases. First of all, they made examples of use cases, codes, and what the module expects and what the module returns for multiple examples and use cases inside the development. I do not even have to go to the documentation website because everything is included inside the tool when I work on it. This is great, in fact. IBM API Connect should show examples. One other thing is the support. The support of IBM is in India. Every time I want to ask something, they say they need logs, they want this, they want that. Gravitee API asks me to explain the problem without asking a thousand times as if it is a request for a green card in the USA. Then they really explain quickly. IBM is a big company, so everything is standardized with the approach of "You do that, you do that, you request that. If you do not have that, you do not reply to the client." Clients want flexibility today, even if it is a huge company. A stressed client is a client that will want to change to other flexible solutions. When everything is fine, we do not care, but when there is stress and problems, that is when the customer of IBM evaluates the tool really. It is when there are problems. IBM makes a lot of efforts on sales and technical sales, and then that is it.
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.

Quotes from Members

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

Pros

"It offers enhanced security features to protect APIs, enforce access control, and secure sensitive data."
"Using API Connect allows us to quickly create proxy APIs and saves time on end-to-end testing, which lets us deliver quickly to clients."
"The most valuable feature for me is the ability to distribute work among our API developers, so we don't have to do all the work as IBM API Connect administrators and IBM DataPower administrators."
"The interface is very nice. It makes the solution easy to use and navigate."
"The ability for all of our web applications to share standard functions and documents easily is valuable."
"At the end of the day, it's a great product, I can't fault it for now."
"We use this solution for rest-based, micro services to complete authentication, gather statistics, audit and throttle traffic, and provide a developer portal that allows users to browse their APIs and develop applications on them, with solid features compared to some of the API services management services out there."
"The solution's technical support team is good."
"In general, the solution works very, very well."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."
"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 aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
"It is a stable solution."
 

Cons

"While Azure API Management offers configurable scalability, IBM API Connect relies on Kubernetes clusters. This might seem manual and require defining cluster instances upfront, but it's completely customizable and not on-the-fly scaling. It's completely custom-driven, not on-the-fly scaling, which some may consider cumbersome."
"Due to bugs in integration, we have to look for workaround on fixing and using DataPower as gateway."
"Documentation for the CLI is not very complete. Also, the support could be improved, and we have had several problems with backing up and restoring the product."
"IBM has improved this product significantly in last 2 years but it is still not stable and requires further improvements."
"Firstly, the pricing model, when compared to other open sources, is high. Secondly, the availability of resources in the market, specifically the developers available in the market, is not so much."
"There are some performance issues and issues related to asynchronous APIs."
"The documentation needs to be a bit better."
"Additional features probably will be easier to develop. Right now the UI is using quadruples."
"Its queuing and messaging features need improvement."
"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."
"The pricing can be improved."
"What needs to be improved is the restriction that they have on the product."
"Enterprise bots are needed to balance products like Kafka and Confluent."
"The initial setup is not easy."
 

Pricing and Cost Advice

"It is an expensive solution. The licensing model is based on a per-subscription and per-subscriber end-user basis, meaning the price is determined by the end-users of the platform."
"IBM API Connect could be cheaper."
"The price of the solution is very expensive, it can turn many customers away."
"It would be a good idea to bring down the pricing by at least 20 to 30 percent."
"This is a licensed product. If your company is looking to obtain a license, you have to work with IBM partners."
"Pricing for IBM API Connect varies, e.g. it could be subscription-based. Deploying it on private cloud also means you have to own most of the software licensing."
"API Connect was highly expensive for us, but the decision to switch was made before I joined the company. It seems like the company bought it, but they didn't know how to use it. After two years, they decided to reevaluate and conduct some cost estimates."
"There was a need to purchase an upfront license or a one-time license or upfront license, but I cannot remember the details about it clearly."
"It is an expensive solution."
"The solution's pricing model is very flexible."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Insurance Company
10%
Manufacturing Company
7%
Construction Company
6%
Financial Services Firm
13%
Manufacturing Company
11%
Construction Company
9%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business19
Midsize Enterprise10
Large Enterprise62
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for IBM API Connect?
I do not handle the pricing, setup cost, and licensing details.
What needs improvement with IBM API Connect?
There are areas of IBM API Connect that need to be improved. I want what Gravitee made, which is much better. Gravitee made many samples for different use cases. First of all, they made examples of...
What is your primary use case for IBM API Connect?
The usual use cases for IBM API Connect that I worked with mostly involved three things: security, monitoring, and message control. The purpose was to address these areas, though there was one feat...
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...
 

Overview

 

Sample Customers

Heineken, Tine, Finologee, Axis Bank
CVS Health Corporation
Find out what your peers are saying about IBM API Connect vs. IBM Cloud Pak for Integration and other solutions. Updated: August 2026.
909,563 professionals have used our research since 2012.