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Informatica Intelligent Data Management Cloud (IDMC) vs ibi Open Data Hub for Mainframe comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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
Informatica Intelligent Dat...
Ranking in Data Integration
2nd
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (5th), Business-to-Business Middleware (2nd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (4th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Mindshare comparison

As of March 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 Informatica Intelligent Data Management Cloud (IDMC) is 3.6%, down from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)3.6%
ibi Open Data Hub for Mainframe0.7%
Other95.7%
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.
Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.

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."
"We can scan anything."
"Its data cleansing capabilities are very valuable. The match and merge and the audit trail functionalities are very good."
"The user-friendliness and performance of Informatica is quite impressive."
"The features I find most valuable is the synchronization, verification, functionalities and all the data integration features."
"Scalability is on par or better than any other solution on the market, with one of our customers having over 21 million SKUs in PIM and others having hundreds of international users."
"We had a bad experience before Informatica Cloud Data Quality, we started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model."
"In the latest version, I like the outlay of the business roles creation. I like seeing that visualization as you're building it, as opposed to going through metatables or XML mappings. We liked that piece, and it makes it more intuitive for the business."
"The scalability of the solution is excellent."
 

Cons

"DataHub is volatile; the records are completely re-loaded each day, which puts a burden on the system."
"From multiple masters that are there in Informatica MDM, we can improve the financials."
"One area where Informatica Cloud Data Integration could improve is in providing more accelerators for certain functionalities."
"We cannot sell the product directly with an additional layer."
"Pre-sales technical support is much better than post-sales technical support."
"The product requires more polishing and hardening."
"The high price of the product is an area of concern where improvements are required."
"One thing to consider is that while Informatica Intelligent Cloud Services already integrates with AI platforms, we need to use these tools rigorously and check all these aspects, including machine learning and analytics. I feel that more work needs to be done on this aspect."
"Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol or .com domain. Instead, it's about advanced validation, such as verifying if an email address exists or if a phone number is valid."
 

Pricing and Cost Advice

Information not available
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"Informatica MDM's pricetag should come down. They have to cut some costs."
"Our customers sometimes are able to negotiate a much better price for Informatica Cloud Data Integration based on their relationship with the vendor."
"The solution is very expensive."
"A yearly subscription is paid based on the number of people using the solution. Price-wise, it falls under the medium range since it is neither very costly nor too cheap."
"We got a 50% discount."
"The product is very expensive"
"It's offers value for money. They're more competitive with respect to pricing and offerings."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Manufacturing Company
11%
Computer Software Company
7%
Retailer
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
 

Questions from the Community

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Also Known As

iWay Data Hub, Data Hub, Information Builders Data Hub
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

Ford Motor Company, City of Erlanger, Kentucky Police Dept., Helzberg Diamond Inc.
The Travel Company, Carbonite
Find out what your peers are saying about Microsoft, Informatica, Qlik and others in Data Integration. Updated: February 2026.
884,933 professionals have used our research since 2012.