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Apiary 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

Apiary
Ranking in API Management
37th
Average Rating
8.2
Reviews Sentiment
7.3
Number of Reviews
4
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 July 2025, in the API Management category, the mindshare of Apiary is 0.4%, up from 0.2% 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

PW
The ability to configure rules to check for consistency has helped
Apiary provides a free tier of the platform which allows a small group of developers to collaborate easily on the design of open source APIs. In addition to this, it provides mock endpoints allowing people to experiment with the API without depending or having to stand up a real backend. With our clients, using Apiary allows us to very quickly pull together an API definition (particularly when using API Blueprint). The whole API design process for the simpler use cases can be done in a relatively short workshop which makes it a lot easier to agree, publish, version-manage an API definition with suitable documentation. This can then be evolved and enhanced (particularly in the documentation aspects). With the ability to support Swagger (Open API v2 and introducing/ed support for v3) and API Blueprint makes it a very versatile tool.
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

"Quick and easy way to share a new API design with teams."
"I do like the overall performance of the solution."
"In two years, there was one time the service was down for an hour or so."
"I find the generation of mock services very useful, especially when demonstrating for new consumers."
"Git integration"
"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."
"It is a stable solution."
"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."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
 

Cons

"The Oracle release cycle is very bad because the patches only update once a year."
"I would like an integrated option to download a Swagger version of the definition."
"Swagger (OpenAPI Specification) and Blueprint Support"
"The pricing can be improved."
"Enterprise bots are needed to balance products like Kafka and Confluent."
"Its queuing and messaging features need improvement."
"The initial setup is not easy."
"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."
 

Pricing and Cost Advice

"There is a free subscription option to start and try the service."
"It is easy to get started with personal (free) accounts, but a subscription is required for additional features."
"The solution's pricing model is very flexible."
"It is an expensive solution."
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Top Industries

By visitors reading reviews
No data available
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
No data available
 

Questions from the Community

Ask a question
Earn 20 points
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

Microsoft, salesforce.com, Bloomberg, GoodData, Viacom, Akamai Technologies, DigitalGlobe
CVS Health Corporation
Find out what your peers are saying about Apiary vs. IBM Cloud Pak for Integration and other solutions. Updated: June 2025.
860,592 professionals have used our research since 2012.