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IBM Cloud Pak for Integration vs IBM DataPower Gateway 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 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)
IBM DataPower Gateway
Ranking in API Management
12th
Average Rating
8.4
Reviews Sentiment
6.7
Number of Reviews
29
Ranking in other categories
Enterprise Service Bus (ESB) (5th), Application Infrastructure (9th), SOA Application Gateways (1st)
 

Mindshare comparison

As of July 2025, in the API Management category, the mindshare of IBM Cloud Pak for Integration is 0.5%, down from 0.6% compared to the previous year. The mindshare of IBM DataPower Gateway is 4.0%, up from 3.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
API Management
 

Featured Reviews

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.
Mehdi El Filahi - PeerSpot reviewer
Security features meets compliance needs and offers MPGW (Multi-Protocol Gateway) that simplifies integration efforts
While I like IBM products, I'm not an evangelist. I work with Java, Microsoft ASP.NET, and various technologies. I'm not tied to any specific vendor. However, I do find IBM to be a bit greedy. It's a large, profit-driven company. The support team is mostly based in India, and they follow a very structured process and protocol. Sometimes, it feels like playing ping pong with them – lots of back and forth before the problem gets escalated. You might even have to get your sales rep involved to push things along. For me, the support it could be better. Indian support teams aren't inherently bad, but with IBM, it feels impersonal. They respond, sure. But if it's a complex technical issue, they might ask you a lot of questions that just seem designed to waste your time. Sometimes it feels like they hope you'll get frustrated and solve the problem yourself.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."
"Cloud Pak for Integration is definitely scalable. That is the most important criteria."
"It is a stable solution."
"The most valuable features for our business include the ability to monitor and log data transactions and handle multiple request at an enterprise level."
"I like the API Gateway feature."
"I like the API Gateway feature."
"The solution is very easy to work with."
"I like the tool's security. Also, all functionalities are integrated within on platform."
"It is a scalable solution."
"It is easy to use, easy to install, and it's resilient for high availability."
"It can look for the various security threats, productions, payload scanning, and perform routing based on the content type."
 

Cons

"Its queuing and messaging features need improvement."
"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."
"The initial setup is not easy."
"Enterprise bots are needed to balance products like Kafka and Confluent."
"The initial setup isn't so easy, you need who has experience working with the solution to help."
"For the workloads that are not too high, appliance is a little bit expensive."
"The DCDR process should be less complex."
"Its support services could be better."
"They should improve the solution's clustering features."
"In the next release, I would like to see the product price reduced. It should be cheaper."
"In terms of OEM support, it is poor. If I raise a CBRT one, as per the SLA, they should respond in one hour, however, sometimes it takes four or five hours to respond."
"Some pre-packaged connectors for integration with various applications, such as SaaS offerings, would be a useful addition."
 

Pricing and Cost Advice

"The solution's pricing model is very flexible."
"It is an expensive solution."
"The appliance is a bit on the expensive side for the workloads that are not too high."
"It is an expensive solution."
"The licensing cost is very expensive."
"It's expensive when you compare it with others."
"Most customers' use case budgets are not inlined with the price of IBM DataPower Gateway. It is too expensive."
"This product is a bit expensive as IBM products are costly assets. However, for enterprise customers it is a worthwhile investment."
"The solution is expensive in comparison to other products."
"The cost is very high and requires all five components in the API management solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
21%
Computer Software Company
10%
Insurance Company
8%
Government
8%
Financial Services Firm
29%
Insurance Company
10%
Computer Software Company
9%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

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...
What do you like most about IBM DataPower Gateway?
The MPGW (Multi-Protocol Gateway) is great because it allows you to easily expose services using various protocols – web services, REST (JSON), and others. This flexibility simplifies things.
What is your experience regarding pricing and costs for IBM DataPower Gateway?
I would rate the pricing a two out of ten, with one being high price, and ten being low price. It's high-priced for smaller companies. But it is okay for enterprises. So, the price could be more fl...
What needs improvement with IBM DataPower Gateway?
The DCDR process should be less complex. AI should improve developer efficiency and effort. Whenever I am writing code, it should give recommendations automatically by incorporating AI so I can wri...
 

Also Known As

No data available
WebSphere DataPower, IBM DataPower, IBM WebSphere DataPower
 

Overview

 

Sample Customers

CVS Health Corporation
RBL Bank, Availity
Find out what your peers are saying about IBM Cloud Pak for Integration vs. IBM DataPower Gateway and other solutions. Updated: June 2025.
860,592 professionals have used our research since 2012.