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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

"The most valuable features are stability and security."
"It gives a holistic environment for us to set up the APIs and that's the main value that it adds. It gives end to end for us."
"The ability for all of our web applications to share standard functions and documents easily is valuable."
"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 main benefits of IBM API Connect for our API life cycle management are the core API functionalities, the developer's portal, and robust security capabilities. IBM API Connect's security protocols enhance our data protection strategies by offering end-to-end security, mechanisms to counter common attacks like DDoS, and the ability to define policies for API groups to control traffic and prevent unwanted access to our systems."
"The most valuable feature is the security we get from this solution. I know of a bank that uses it to ensure that everything is secure. The second feature I like is the retail environment, where we actually want to be able to provide as many suppliers and consumers with APIs as possible. If you are well-trained in the writing of RESTful API's, you can actually publish an API in a matter of minutes, test it, and publish it."
"The statistics component is easy to use."
"The solution's technical support team is good."
"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."
"It is a stable solution."
"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."
"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."
 

Cons

"Installation is weak."
"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."
"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."
"Possible improvement is mainly around having more of the cloud oriented architecture bringing stability in adding new capabilities around security."
"We ran it on top of the Kubernetes cluster, so it wasn't a standalone service. In the worst-case scenario, API Connect couldn't stay online if all the containers went down. We had to restart all the services. We shut down all the containers automatically one by one."
"Support for this platform could still be improved. It also needs to have more levels of versatility. Its compatibility and integration with different platforms also need improvement."
"The solution is not scalable."
"I would like to see automation of the installation. If there could be a single-click function where you could automate everything, that would be helpful."
"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."
"Enterprise bots are needed to balance products like Kafka and Confluent."
"Its queuing and messaging features need improvement."
"The initial setup is not easy."
"The pricing can be improved."
 

Pricing and Cost Advice

"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."
"This is a licensed product. If your company is looking to obtain a license, you have to work with IBM partners."
"The price of the solution is expensive. However, there are a lot of customization capabilities."
"I haven't seen anyone go from on-premise to the cloud. In fact, I am seeing people go from the cloud to on-premise because the costs can quickly grow on the cloud."
"It can be quite expensive. It's okay for large-scale usage but quite expensive for smaller-scale implementations."
"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 is expensive - I'd rate their pricing five out of ten."
"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."
"The solution's pricing model is very flexible."
"It is an expensive solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Educational Organization
13%
Insurance Company
12%
Computer Software Company
9%
Financial Services Firm
21%
Computer Software Company
10%
Insurance Company
8%
Government
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.
860,592 professionals have used our research since 2012.