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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:
 

ROI

Sentiment score
6.5
IBM API Connect enabled rapid microservices development, enhancing governance, security, and integration, yielding significant financial and operational benefits within two years.
No sentiment score available
 

Customer Service

Sentiment score
6.4
IBM API Connect's support is generally good but varies in speed and effectiveness, depending on location and ticket severity.
No sentiment score available
 

Scalability Issues

Sentiment score
7.4
IBM API Connect is praised for its high scalability and reliability, though customization and infrastructure costs may vary.
No sentiment score available
 

Stability Issues

Sentiment score
7.2
IBM API Connect is generally stable and reliable, particularly in newer versions, with most users rating its stability highly.
Sentiment score
8.3
IBM Cloud Pak for Integration is highly valued for its stability and reliability, with users praising its bug-free operation.
 

Room For Improvement

IBM API Connect needs better microservices, documentation, monetization, setup, multi-cloud support, development, debugging, security, automation, hybrid cloud, and performance.
IBM Cloud Pak for Integration faces deployment limits on OpenShift, setup challenges, and needs improvements in features and pricing.
 

Setup Cost

IBM API Connect pricing is high, escalating in cloud deployments, with some users suggesting a 20-30% cost reduction.
 

Valuable Features

IBM API Connect offers a robust interface, enhanced security, seamless integration, and comprehensive management tools for efficient API lifecycle and performance.
IBM Cloud Pak for Integration offers seamless integration with OpenShift, stability, file processing automation, and efficient microservices management and recovery.
 

Categories and Ranking

IBM API Connect
Ranking in API Management
5th
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
75
Ranking in other categories
Integration Platform as a Service (iPaaS) (8th)
IBM Cloud Pak for Integration
Ranking in API Management
24th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
5
Ranking in other categories
Cloud Data Integration (16th)
 

Mindshare comparison

As of December 2024, in the API Management category, the mindshare of IBM API Connect is 6.5%, up from 6.4% compared to the previous year. The mindshare of IBM Cloud Pak for Integration is 0.4%, down from 0.5% 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.
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Top Industries

By visitors reading reviews
Educational Organization
21%
Financial Services Firm
19%
Insurance Company
10%
Computer Software Company
9%
Financial Services Firm
19%
Computer Software Company
14%
Manufacturing Company
10%
Government
9%
 

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?
It is a pretty expensive tool. The tool is expensive if I consider how products like WSO2 are available in the market. You have pretty much many options in the open-source community, considering ho...
What needs improvement with IBM API Connect?
The only downside where improvements are needed is probably on the licensing side. Scalability is an issue with IBM API Connect, making it an area where improvements are required.
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...
 

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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: December 2024.
824,067 professionals have used our research since 2012.