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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
6.6
Number of Reviews
76
Ranking in other categories
Integration Platform as a Service (iPaaS) (9th)
IBM Cloud Pak for Integration
Ranking in API Management
26th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
5
Ranking in other categories
Cloud Data Integration (15th)
 

Mindshare comparison

As of July 2025, in the API Management category, the mindshare of IBM API Connect is 6.3%, up from 6.3% compared to the previous year. The mindshare of IBM Cloud Pak for Integration is 0.5%, down from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
API Management
 

Featured Reviews

Shanmugasundaram Shanmuganathan - PeerSpot reviewer
Offers basic API orchestration and provides robust security and governance features
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. Overall, I would rate the scalability an eight out of ten. Almost all applications we've been exposing lately go through this middleware, so it's used extensively. There are around sixty applications directly using it, but six Kubernetes clusters serve those applications. It's heavily used for integration, including system-to-system integration and product integrations. Our usage has been increasing year-on-year based on our needs.
Igor Khalitov - PeerSpot reviewer
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

"I have found the API Management to be most valuable."
"The solution is very scalable because it's on the cloud."
"This product is well integrated with other products. Its ability to interact with IBM Secure Gateway and other integration products is the core feature. Also, the lead time to put it into production is relatively short ."
"I have found IBM API Connect to be highly secure, efficient, easy to deploy, and has a great GUI. It can operate and integrate well with other vendors, such as Amazon, Google, and Microsoft."
"The functionalities on offer are very good."
"Since it runs on top of Datapower, all Datapower based custom policies can be utilized and exported to API connect but its not straightforward/simple process."
"The ability for all of our web applications to share standard functions and documents easily is valuable."
"The developer portal has been the most useful feature."
"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"It is a stable solution."
"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."
 

Cons

"The integration of an API gateway that implements the sidecar pattern, which can be deployed in cloud applications, and expose the microservices directly in each pod, this can be more decentralized components."
"The administration of the user interface and the technical documentation are areas of concern in the solution where improvements are required."
"Automation for our Domino applications could be improved."
"It would be nice to have a SaaS solution that can be deployed into the cloud."
"The new version is very unstable."
"The implementation process could benefit from improvements, as it may take some time to become accustomed to the deployment."
"The solution could improve security and performance."
"They seem to have left out a feature for microservices and also a certification module for OIDC."
"Enterprise bots are needed to balance products like Kafka and Confluent."
"Its queuing and messaging features need improvement."
"The pricing can be improved."
"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. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."
 

Pricing and Cost Advice

"It should be cheaper. It has a yearly licensing."
"API Connect's license cost could be a little lower. But, unfortunately, there aren't many open-source API gateways. Ideally, some new developers could come up with a minimum-functionality open-source solution."
"The pricing is too expensive with IBM. Sometimes, we prefer to go with an open source or something more lightweight."
"It can be quite expensive. It's okay for large-scale usage but quite expensive for smaller-scale implementations."
"The pricing is significantly high."
"I rate the product price a seven on a scale of one to ten, where one is a low price, and ten is a high price."
"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."
"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
20%
Insurance Company
12%
Computer Software Company
10%
Manufacturing Company
7%
Financial Services Firm
21%
Computer Software Company
10%
Government
9%
Insurance Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about IBM API Connect?
Publishers can easily identify, create, and publish APIs on the developer portal, defining plans, packages, and potentially billing rules.
What is your experience regarding pricing and costs for IBM API Connect?
Pricing depends on how many instances run across environments. I don't deal with licensing, but compared to other IBM products, the licensing is not significantly higher.
What needs improvement with IBM API Connect?
When comparing API Gateway with DataPower Gateway, several features in DataPower Gateway are absent in the APIC layer. Examples include the lack of connectivity to MQ ( /categories/message-queue-mq...
What do you like most about IBM Cloud Pak for Integration?
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 ...
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...
 

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: July 2025.
861,803 professionals have used our research since 2012.