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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
4th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
76
Ranking in other categories
Integration Platform as a Service (iPaaS) (8th)
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 June 2025, in the API Management category, the mindshare of IBM API Connect is 6.4%, up from 6.3% compared to the previous year. The mindshare of IBM Cloud Pak for Integration is 0.4%, 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

"The interface is very nice. It makes the solution easy to use and navigate."
"The solution is very stable."
"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."
"It acts as a central gateway for both external APIs and underlying systems. It's basically a central middleware for hosting APIs to the internet and consuming APIs from internal systems. It provides central governance for any APIs going outside the network, ensuring security and a common contract for API definitions."
"The statistics component is easy to use."
"Policy configurations are pretty easy."
"Security is well organized and managed within the solution."
"IBM API Connect is a good product, and their technical support is excellent."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"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."
"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."
 

Cons

"I would like to see support for non-Java based services. We struggle a bit to be able to deploy and connect our .NET services because of things like data types. We had to map a couple of things. For one solution provider, we had to move them to .NET Core before we could use it properly. I would like to see more agnostic tool service platforms rather than moving it more towards Java or open source."
"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."
"There are some performance issues and issues related to asynchronous APIs."
"Our main pain points are in these two areas: creating a better developer portal and improving stability in terms of synchronization and monetization."
"There is room for improvement regarding the connectivity of the DevOps."
"The automation and the simplicity could be improved."
"The developmental process is not quite user-friendly."
"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 initial setup is not easy."
"Enterprise bots are needed to balance products like Kafka and Confluent."
"The pricing can be improved."
"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 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."
"The pricing is too expensive with IBM. Sometimes, we prefer to go with an open source or something more lightweight."
"It is quite an expensive product."
"It is a pretty expensive tool."
"The price of the solution is expensive. However, there are a lot of customization capabilities."
"IBM API Connect could be cheaper."
"The pricing is significantly high."
"We pay for the IBM API Connect monthly. We only need to pay the standard licensing fee."
"The solution's pricing model is very flexible."
"It is an expensive solution."
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Top Industries

By visitors reading reviews
Educational Organization
20%
Financial Services Firm
18%
Insurance Company
10%
Computer Software Company
9%
Financial Services Firm
21%
Computer Software Company
11%
Government
8%
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: June 2025.
856,873 professionals have used our research since 2012.