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IBM Cloud Pak for Data vs ibi Open Data Hub for Mainframe 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

ibi Open Data Hub for Mainf...
Ranking in Data Integration
60th
Average Rating
10.0
Reviews Sentiment
5.4
Number of Reviews
1
Ranking in other categories
No ranking in other categories
IBM Cloud Pak for Data
Ranking in Data Integration
19th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
19
Ranking in other categories
Data Virtualization (3rd)
 

Mindshare comparison

As of May 2026, in the Data Integration category, the mindshare of ibi Open Data Hub for Mainframe is 0.7%, up from 0.2% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 1.2%, down from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
IBM Cloud Pak for Data1.2%
ibi Open Data Hub for Mainframe0.7%
Other98.1%
Data Integration
 

Featured Reviews

it_user3876 - PeerSpot reviewer
Database Manager at a tech company with 51-200 employees
Provides High Reliability and Data Security
• Data in the datahub refreshes nightly. As the data only refreshes once every day, it is necessary to have to wait for any changes to thesource systems to become available.The daily refresh can be extremely useful for reconciling data. • DataHub only displays details of current members of the Organization. So it has much limited data available for generation of dynamic reports. • DataHub is volatile. The records are completely re-loaded each day. It puts burden on the system. • There are very few summary tables available due to storage of data in a detailed format. • The detailed information is not stored in the DataHub. It is stored in the relevant source system. Only commonly required data is stored within the DataHub.
ArchanaSingh - PeerSpot reviewer
Senior Data Analyst at Wipro Limited
Collaborative data platform has transformed analytics and now drives faster decisions
The best features IBM Cloud Pak for Data offers include robust data visualization, centralized data analytics, data reliability, and compatibility with hybrid and multi-cloud environments. The compatibility with hybrid and multi-cloud environments has helped our organization as data visualization is very simple. Migrations, reading, analysis, and data management from other sources are performed without problems of requirements. We have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management easily. I find this cloud excellent for visualizing and managing data across networks and also fulfilling fastest data storage, making it less complex and completely improving productivity in my organization. Everything is managed in multiple environments without any problem. IBM Cloud Pak for Data has positively impacted my organization, and I have noticed some improvement since we started using this tool. Configuration with hybrid and multi-cloud environments has been very seamless and easy. It is a robust platform capable of working with multiple data sources where we gain insights to make data-driven decisions easily. It automates data analysis for quick and better performance. We have seen improvements in analysis and data correction from multiple sources. Our productivity in the company is growing, thanks to the data analysis team. We have also seen a robust hybrid and multi-cloud access system working seamlessly. I can share specific outcomes that show how productivity has grown and how performance has improved since the data is automated, and the analysis is done much faster, saving us a lot of time. We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data. We have been relieved of a lot of duties, and now we are able to focus on other strategic tasks. Our productivity has greatly increased since we are able to make concrete and data-driven decisions easily.

Quotes from Members

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

Pros

"All staff members and users can request an account which can be accessed from all PCs on the company’s network."
"IBM Cloud Pak for Data is a powerful cloud-native all-in-one easy-to-use solution that enables us to put data to work quickly and effectively."
"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."
"I love the way that I can start at a very basic level with my data management journey by capturing my policies, justifying my data, and putting them into different categories to say this is data relating to individuals, for example, or data relating to geography."
"IBM Cloud Pak for Data has enabled us to access diffuse data quickly across hybrid networks and given our teams an edge in data management through automation while adhering to compliance regulations."
"Scalability-wise, I rate the solution a nine or ten out of ten."
"The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good, the customers I have are all very happy, they are looking for expansion, and the experience is very good with it, providing them with the results needed and more."
"The most valuable features are data virtualization and reporting."
"Its data preparation capabilities are highly valuable."
 

Cons

"DataHub is volatile; the records are completely re-loaded each day, which puts a burden on the system."
"To improve IBM Cloud Pak for Data, I suggest more out-of-the-box integration, enhancement of analytics to be sharper, and the deployment options should be very flexible."
"The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."
"The solution could have more connectors."
"The product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve."
"The interface could improve because sometimes it becomes slow. Sometimes there is a delay between clicks when using the software, which can make the development process slow. It can take a few seconds to complete one action, and then a few more seconds to do the next one."
"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output."
"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small."
"The initial setup was a little complex. It is not that user-friendly, and it needs quite a bit of expertise to install, the installation between various different vendors is even more difficult, such as deploying it on the IBM Cloud is relatively easier than having it installed in Amazon AWS or Microsoft Azure, or similar cloud service."
 

Pricing and Cost Advice

Information not available
"It's quite expensive."
"The solution is expensive."
"I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."
"The solution's pricing is competitive with that of other vendors."
"IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."
"For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."
"Cloud Pak's cost is a little high."
"I think that this product is too expensive for smaller companies."
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Top Industries

By visitors reading reviews
Construction Company
17%
Performing Arts
14%
Retailer
8%
Media Company
8%
Financial Services Firm
20%
Manufacturing Company
10%
Computer Software Company
7%
University
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business9
Large Enterprise15
 

Questions from the Community

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What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
Regarding the price, I know IBM is traditionally relatively expensive in the Hungarian market, but we work together with the local IBM sales team, and on a project basis they manage to negotiate th...
What needs improvement with IBM Cloud Pak for Data?
I see room for improvement in IBM Cloud Pak for Data, as it lacked the lake house. However, IBM issued the new product which is Watsonx.data. This is a new product for IBM and it provides all the m...
What is your primary use case for IBM Cloud Pak for Data?
I believe IBM Cloud Pak for Data is suitable for mid-size to bigger companies. It is not tailored for smaller customers. My customers use IBM DataStage for ETL processes. One client has implemented...
 

Also Known As

iWay Data Hub, Data Hub, Information Builders Data Hub
Cloud Pak for Data
 

Overview

 

Sample Customers

Ford Motor Company, City of Erlanger, Kentucky Police Dept., Helzberg Diamond Inc.
Qatar Development Bank, GuideWell, Skanderborg Music Festival
Find out what your peers are saying about Informatica, Microsoft, Qlik and others in Data Integration. Updated: March 2026.
892,487 professionals have used our research since 2012.