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Experian Data Quality vs Informatica Intelligent Data Management Cloud (IDMC) comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 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

Experian Data Quality
Ranking in Data Quality
15th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
7
Ranking in other categories
Data Scrubbing Software (2nd)
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 (1st), API Management (5th), 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 September 2026, in the Data Quality category, the mindshare of Experian Data Quality is 3.8%, up from 2.1% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 9.9%, down from 14.2% 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)9.9%
Experian Data Quality3.8%
Other86.3%
Data Quality
 

Featured Reviews

it_user187320 - PeerSpot reviewer
BI Developer at a manufacturing company with 1,001-5,000 employees
Fast in taking unstructured data, processing it and spitting out all the different data types. The team moved to SSIS/SSRS, I suspect it didn’t fit in with the goal of creating a data warehouse.
The manual calculations and formulae. They were a bit complex. The formulae were a bit abstract. Not easy to understand. Not intuitive. I sat beside an SSIS guru and he took one look at them and said “Good luck Geoff”. I coded them all and after I left, I got a call from a techy there asking me what they were all about! He hadn’t a clue how to unravel them, even with documentation. Also, they managed to accidentally delete them all. No idea how they did that. After a few panic-filled phone calls, they dropped the whole thing. It was a mess there. Glad I left.
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

"It has given us the ability to build information that wasn’t otherwise there, to build confidence in our applications, to troubleshoot data effectively and focus our efforts on genuine errors."
"Pandora provides a quick, efficient way to analyze, control and improve data using integrated technology."
"The product allowed us to complete the project on time and within budget and is continuing to be used on subsequent Data Migration/Integration projects."
"The customer service was very good."
"We were easily able to merge the two sets of data and find the inconsistencies between the two allowing us to complete this part of the project in speedy fashion."
"X88 gave a quick view of the quality of the data and a rapid way to fix issues before exporting for use."
"It is excellent for data profiling."
"It has a more UI-based tool, and the scripting is good."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades, and Informatica is in charge of all those things."
"The solution provides increased efficiency while still being user-friendly and easy to operate."
"We reduced product data setup time from 1.5 hours to 30 minutes."
"The fuzzy matching capability is a great feature."
"The solution's most valuable features are its data quality, match-merge engine, and CLAIRE AI engine, which helps with AI automation."
"The flexibility to interact with many different sources and targets like Oracle, MySQL, Flat Files, Informix, and SAP through PowerExchange, applying different transformations that you can configure in an intuitive way, gives both business and IT teams the opportunity to track the data lineage and also to provide value to the data workflows you create, integrated to feed the MDM solution together with Data Quality processes."
 

Cons

"The product appears to be horizontally scalable, but is not something I would use in a large scale automated architecture."
"The free data profiler doesn't contain enough dashboards to give the user a better feel of the program."
"It is way, way over-priced in my opinion."
"The online training is very useful but needs expanding and updating – it has loads of potential."
"End to End connectivity could do with some improvement which I believe they are working on at this time."
"The tool was very unstable and was constantly hogging the resources, even if was not operating at the moment."
"Pre-sales technical support is much better than post-sales technical support."
"There are a small number of UI bugs that occur on occasion."
"The product could be improved in the area of architecture and technology. All the parts are old."
"Data integration should be improved."
"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 were a few stability issues, but overall it is a stable product."
"The biggest challenge I see is the IDE's for the cloud and automization are different."
"A general improvement in icons and the virtual interface would be good."
 

Pricing and Cost Advice

Information not available
"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."
"The solution is very expensive."
"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."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"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."
"I rate Informatica MDM's price a six on a scale of one to ten, where one is a low price, and ten is a high price."
"We have licenses, and we are provided with certain particular services in the solution."
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Top Industries

By visitors reading reviews
Retailer
12%
Financial Services Firm
10%
Comms Service Provider
8%
Manufacturing Company
8%
Financial Services Firm
12%
Manufacturing Company
10%
Outsourcing Company
9%
Construction Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business1
Midsize Enterprise1
Large Enterprise6
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise155
 

Questions from the Community

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When it comes to cloud data integration, this solution can provide you with multiple benefits, including: Overhead reduction by integrating data on any cloud in various ways Effective integration ...
 

Also Known As

QAS-Experian Data Quality, Experian Pandora, Intelligent Search Technology Data Quality
ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
 

Overview

 

Sample Customers

Overstock.com, Cabela, Drugstore.com, Saks Fifth Avenue, Midmark, Umpqua Bank, Colorado Department of Labor & Employment, Fresno Pacific University, University of North Texas, ALDO
The Travel Company, Carbonite
Find out what your peers are saying about Experian Data Quality vs. Informatica Intelligent Data Management Cloud (IDMC) and other solutions. Updated: September 2026.
914,262 professionals have used our research since 2012.