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Apache APISIX vs IBM Cloud Pak for Integration comparison

 

Comparison Buyer's Guide

Executive Summary

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

Apache APISIX
Ranking in API Management
15th
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
No ranking in other categories
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 Apache APISIX is 3.5%, up from 2.2% 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

AB
User-friendly platform simplifies traffic management and boosts API management through integrated plugins
The most valuable features of Apache APISIX include routing for upstream and frontend services, masking using proxy rewrite, and the integration of different plugins like Prometheus and Grafana. These plugins are self-integrated, allowing features like JWT authentication, rate limiting, and diverse authentication methods without extra integration. The tool is beneficial for its plugin orchestration which enhances API management with redirection, response rewrite, key authentication, and observability with Grafana and Prometheus.
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 recommend Apache APISIX to others because of its many useful features."
"The most valuable features of Apache APISIX include routing for upstream and frontend services, masking using proxy rewrite, and the integration of different plugins like Prometheus and Grafana."
"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."
"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."
"It is a stable solution."
 

Cons

"The routing algorithms in Apache APISIX, such as node-based and round-robin, could be improved. Introducing more plugins and supporting AI features can enhance the solution."
"The user interface is limited and does not support all features of Apache APISIX."
"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."
"The initial setup is not easy."
"Its queuing and messaging features need improvement."
"The pricing can be improved."
 

Pricing and Cost Advice

Information not available
"The solution's pricing model is very flexible."
"It is an expensive solution."
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Top Industries

By visitors reading reviews
Computer Software Company
19%
Financial Services Firm
15%
Manufacturing Company
7%
Comms Service Provider
7%
Financial Services Firm
21%
Computer Software Company
11%
Insurance Company
9%
Government
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
No data available
 

Questions from the Community

What needs improvement with Apache APISIX?
The routing algorithms in Apache APISIX, such as node-based and round-robin, could be improved. Introducing more plugins and supporting AI features can enhance the solution.
What is your primary use case for Apache APISIX?
The primary use case for Apache APISIX is to mask the API endpoints for my microservices and use self-given APIs in Apache APISIX and mask those with the actual real ones. This helps to prevent use...
What advice do you have for others considering Apache APISIX?
I rate Apache APISIX an eight out of ten overall. For new users, I advise going through the official documentation deeply to implement the solution efficiently.
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

Information Not Available
CVS Health Corporation
Find out what your peers are saying about Apache APISIX vs. IBM Cloud Pak for Integration and other solutions. Updated: May 2025.
857,028 professionals have used our research since 2012.