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Informatica Intelligent Data Management Cloud (IDMC) vs ibi Data Quality 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 Data Quality
Ranking in Data Quality
22nd
Average Rating
9.0
Reviews Sentiment
8.2
Number of Reviews
2
Ranking in other categories
Data Scrubbing Software (8th)
Informatica Intelligent Dat...
Ranking in Data Quality
1st
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
215
Ranking in other categories
Data Integration (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 Quality category, the mindshare of ibi Data Quality is 2.4%, up from 0.7% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 9.7%, down from 18.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
Informatica Intelligent Data Management Cloud (IDMC)9.7%
ibi Data Quality2.4%
Other87.9%
Data Quality
 

Featured Reviews

VP
Solutions Architect at GreenZone Solutions Inc
Offers numerous prebuilt data quality plans that can be reused for various data cleansing tasks
We had many duplicates originating from different source systems. We were able to match and deduplicate a significant amount of data. Additionally, we could synchronize and write back the latest information to the systems that were out of sync, ensuring they had the most recent data. As a result, we could write back and update the source systems.
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

"One great feature with OmniGen is the time it takes to develop and deploy to production."
"Ibi Data Quality offers numerous prebuilt data quality plans that can be reused for various data cleansing tasks. Additionally, it provides a variety of prebuilt match and merge rules for performing master data management,"
"Works quickly to develop and deploy to production."
"The solution has the best feature for parameterization."
"The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation."
"The Informatica MDM tool provided a very robust and cost effective solution to implement a single view of physicians."
"It has improved our organization because it has made our data more reliable. Data is the most important asset these days, and in order to trust your data, you need these tools to make sure that your data is clean and reliable."
"I like the fact that you can find almost any product connection that you need and the list is always expanding."
"The most valuable feature is data discovery. This is the most exciting feature for all of the banks."
"The product provides all the typical MDM capabilities like deduplication, machine survivorship, and other things."
"So far, we have been pleased with its capabilities."
 

Cons

"Their data governance portal can be improved. It lacks data governance-related features. Also, PII and anomaly detection could be valuable use cases for ibi. Adding these features would be a great enhancement."
"The special integration support is something that could be improved in the solution."
"Asia pacific region address validation needs to be improved."
"The major area of improvement is its GUI front end."
"The cloud version of the Informatica, it's a very substandard product. They might say it's enterprise-ready but it's not at all ready."
"There's certainly room for improvement. One crucial area is generating detailed reports on file statuses. Presently, this is represented visually, often as graphs or charts. Such reporting could offer comprehensive insights into the areas that demand attention and further scrutiny."
"Most of the new features added by Informatica are through Elastic Mapping. It would be helpful to have features like multithreading or partitioning for Salesforce to enhance performance."
"The UI is extremely complex"
"For products Master Data Management or related to MDM or Data Governance, there is no way by which we can directly practice, and my team struggles at that point."
"They could provide more robust performance for data integration processes. It would help in improving the data quality more efficiently."
 

Pricing and Cost Advice

Information not available
"It's a very expensive solution"
"It's offers value for money. They're more competitive with respect to pricing and offerings."
"Informatica Cloud Data Quality is a costly solution."
"We have licenses, and we are provided with certain particular services in the solution."
"I rate the product's pricing a nine on a scale of one to ten, where one is low price, and ten is high price."
"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"Its pricing model can be improved."
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
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Top Industries

By visitors reading reviews
No data available
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 Software Data Quality, iWay Omni-Gen Data Quality Edition, Omni-Gen Data Quality
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

ICA Fluor, Estonia Police Department, Kansas City Police Department
The Travel Company, Carbonite
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. ibi Data Quality and other solutions. Updated: August 2026.
908,800 professionals have used our research since 2012.