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

 

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 (6th), 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) (2nd), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Mindshare comparison

As of July 2026, in the Data Quality category, the mindshare of Experian Data Quality is 4.0%, up from 2.1% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 9.7%, down from 19.2% 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)9.7%
Experian Data Quality4.0%
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

"X88 gave a quick view of the quality of the data and a rapid way to fix issues before exporting for use."
"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."
"It is excellent for data profiling."
"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."
"I have rated the stability a ten out of ten due to a high level of satisfaction."
"The technical support services are good."
"One of the most valuable features is that I don't need to buy a subscription for any functionality. With Informatica Cloud Data Management, I have all the functionality and features available. If I need to make an integration, I can go to that integration service. If I need to mask, provide, or clean some information, I can easily just pick up that feature and use it. It's very simple, and I have all the functions and capabilities I need to work with data."
"It comes with lot of features and is a one-stop-shop solution for integration, data modeling, and data governance."
"The profiling features are much better than the on-premise version."
"Customer service and technical support are excellent."
"It's got a reputation in the industry as one of the best solutions for master data management. So, it's what we see in the Gartner top right quadrant as the best product in that space."
"The scalability is very high."
 

Cons

"The online training is very useful but needs expanding and updating – it has loads of potential."
"The tool was very unstable and was constantly hogging the resources, even if was not operating at the moment."
"The free data profiler doesn't contain enough dashboards to give the user a better feel of the program."
"End to End connectivity could do with some improvement which I believe they are working on at this time."
"It is way, way over-priced in my opinion."
"The product appears to be horizontally scalable, but is not something I would use in a large scale automated architecture."
"Mainly, MDM requires improvement when you need to migrate your version to a later one -- because it is very difficult and takes a lot of time to convert the processes you have already developed and implemented on a previous version, and can cause a need to rework the processes."
"Improving the speed of data showcasing and filtration would be better, and though we can customize these aspects in Informatica Enterprise Data Lake, there's still room for enhancement."
"If a new solution has the same features and less investment, it would be worth considering."
"The advertising makes promises about data analytics that it does not keep."
"The tool could be improved in terms of ease of use, particularly for those without technical expertise. Understanding and extracting data from the table-based structure requires some SQL knowledge and technical skills. Additionally, while Informatica MDM has moved towards a cloud-based MDM with a UI similar to Reltio, I haven't used it, so I can't comment on its effectiveness."
"I have encountered some issues using the substitution, which is one of the techniques of data masking."
"Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stable."
"We experienced several basic issues with the product that required daily meetings with Informatica product specialists."
 

Pricing and Cost Advice

Information not available
"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."
"Informatica MDM's pricing is not cheap but comparable to other vendors."
"I'm not sure about the most recent pricing trends, but I don't believe it's significantly different from PowerCenter. I believe it is nearly the same."
"The licensing costs attached to the solution are pretty high, but then, with the cloud model, the prices depend on what it provides for the value of money, which I feel was very high."
"The price is very high and has become a big concern for our customers who require the solution in order for their business to function smoothly."
"Informatica MDM recently changed its pricing model. It's usage-based but I don't have much insight into the current pricing."
"The pricing is high compared to other tools on the market."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Manufacturing Company
9%
Retailer
9%
University
7%
Financial Services Firm
13%
Manufacturing Company
11%
Construction Company
7%
Computer Software Company
6%
 

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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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: June 2026.
904,836 professionals have used our research since 2012.