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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
63rd
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
1st
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Quality (1st), Business Process Management (BPM) (6th), Business-to-Business Middleware (2nd), API Management (7th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (2nd), Cloud Master Data Management (MDM) (1st), Data Management Platforms (DMP) (2nd), Data Masking (2nd), Metadata Management (2nd), Integration Platform as a Service (iPaaS) (3rd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of ibi Open Data Hub for Mainframe is 0.6%, up from 0.2% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 3.8%, down from 4.6% 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)3.8%
ibi Open Data Hub for Mainframe0.6%
Other95.6%
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.
RC
Contractor at Sanlam
Cloud data catalog has streamlined lineage and quality while leaving more automation to improve
I have not explored IDMC's automation capabilities driven by AI and metadata too much at the moment, but it is on the cards. We are basically creating the foundation, as the whole migration has taken place recently and it is still early days. I think Informatica Intelligent Data Management Cloud (IDMC) is evolving, and as the vendors move forward, they pick up new concepts from each other. I have seen that products leapfrog each other, and from my experience over the years, the big players tend to copy features or add enhancements based on industry trends. I feel whatever the tool does not have now, there is a feedback loop allowing us to request new features, and we continually ask for different ways to do things as we have a pipeline into the product management team. It is difficult to say what additional features I would prefer to see in the next release of IDMC. I would appreciate more automation on the lineage front, with more AI to seamlessly join independent sources and create seamless lineage between different technologies, such as from file into database A into a different database and landing up in a reporting system such as Cognos, Qlik, Qlik Sense, QlikView, or Power BI.

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."
"The capability of the tool to scan and capture the metadata from a variety of sources is one of the capabilities that I find most useful. The central repository into which it is going to put that captured metadata is the best."
"The fuzzy matching capability is a great feature."
"The serverless capability and the packaging application of the solution are valuable."
"The most valuable feature of Informatica Axon has been the data marketplace."
"It has a more UI-based tool, and the scripting is good."
"It's probably one of the leading lights in ETL."
"Now that we run all the addresses through AddressDoctor, we know what is a deliverable address and what is not, and we see the suggestion list for the addresses which are not deliverable."
 

Cons

"DataHub is volatile; the records are completely re-loaded each day, which puts a burden on the system."
"Informatica Enterprise Data Lake's setup process was complex since it doesn't support a lot of real-time systems."
"The integration with other data management tools can be enhanced. For instance, there is no integration with tools like Collibra or Hubview."
"Informatica Axon does not provide complete transparency about the level of detailing you need and the logic used in ETL."
"This is a costly solution. We have several customers who evaluate it but then look for other solutions because of the cost. At present, Informatica MDM comes as an on-premises or cloud-based solution. I would like to see them offer a SaaS-based MDM model. I think they are working on it."
"The cloud version could be better in terms of pricing."
"There may be some types of limitations with the performance."
"Its cloud-based version has a few limitations compared to the on-premise version."
"It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it."
 

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."
"So, there are plans for licensing. There are subscription-based and usage-based licenses. Also, there are licenses for exceptional analytics, etc. In short, there are different models of licensing for every enterprise."
"I have no idea what the price actually is. It is probably not going to be the cheapest, but it is a pretty stable and robust platform from the backend standpoint."
"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"It's pretty high for us. It's more on the higher side, like low to middle high."
"The product has a high price point."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"It's an expensive solution."
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Top Industries

By visitors reading reviews
Construction Company
20%
Comms Service Provider
11%
Performing Arts
11%
Financial Services Firm
9%
Financial Services Firm
12%
Manufacturing Company
10%
Construction Company
9%
Outsourcing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
 

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 Informatica, Microsoft, Palantir and others in Data Integration. Updated: July 2026.
908,858 professionals have used our research since 2012.