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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

"This is a very easy to use solution."
"The centralized management: this provides a management module that can deploy and apply security policies to all APIs, including all the gateways that are deployed on-premises and on any cloud because the gateway component can run at a VMware or in a Kubernetes cluster."
"It is a complete all-in-one solution."
"IBM API Connect is a reliable and scalable solution."
"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 ."
"The most valuable features of the solution stem from the fact that it is very easy to use and is something that is easily configurable."
"We really like the runtime capabilities of IBM API Connect. The creation of products and the control of the monetization and hit rate are some of the features which we've found very valuable."
"Our version supports containerized integration. I can write APIs, which can be moved into a testing environment without needing a forklift. It can check if APIs are compliant before moving them into production."
"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."
"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."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
 

Cons

"Business applications could be exposed to users."
"Improving the documentation would be beneficial as it currently presents navigation challenges. Incorporating a step-by-step guide could facilitate the integration or migration of various systems, including databases. The existing documentation only comprises plain text, hence incorporating more interactive instructions could enhance its usefulness."
"We would have more capability to interact with the catalog and inventories, so a more DevOps-friendly solution is needed."
"There is room for improvement regarding the connectivity of the DevOps."
"We have asked IBM for scalability and for some other features that we wanted. We had a dialogue with them and in the end, they have agreed to provide us with features related to API setup and security."
"The only downside where improvements are needed is probably on the licensing side."
"It would be helpful to have access monitoring."
"The solution could improve security and performance."
"The pricing can be improved."
"The initial setup is not easy."
"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."
"Its queuing and messaging features need improvement."
 

Pricing and Cost Advice

"The pricing is too expensive with IBM. Sometimes, we prefer to go with an open source or something more lightweight."
"We pay for the IBM API Connect monthly. We only need to pay the standard licensing fee."
"The price for IBM API Connect is reasonable. It's $20,000 to $30,000 yearly for a subscription, and the pricing could vary around $40,000 per year, per subscription. Its price is reasonable for customers who have around sixty million API calls yearly for unlimited environments."
"It is expensive when compared to other products in this class. There were no extra fees for add-ons or technical support."
"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."
"It's an expensive product."
"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."
"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
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.
861,524 professionals have used our research since 2012.