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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

"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."
"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."
"Pandora provides a quick, efficient way to analyze, control and improve data using integrated technology."
"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."
"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."
"The customer service was very good."
"The product improves data quality."
"The most valuable features are that MDM has a very strong master merchant, and it's possible to model all kinds of domains in one solution."
"The most valuable feature of Informatica Axon is that it is flexible and user-friendly."
"Informatica MDM helped us realize our goal of maintaining a distinct (golden) record in our database for better decision making and reporting purposes."
"I am impressed by the solution's interface."
"The features that I have found most valuable are, first of all, that it comes as part of this whole bundle of Informatica tools. So if you've been implementing Informatica MDM across a business, you'd often find it comes with it. It's been thrown in as a sweetener. The adoption of it is often the challenge because as part of your MDM project, governance is seen as something beyond the MDM and is often restrictive. So this tool actually, for the first time, when you talk to data governance teams, gives a holistic view of what a data governance team can do with this tool."
"We can scan anything."
"I would absolutely recommend this solution to others."
 

Cons

"The product appears to be horizontally scalable, but is not something I would use in a large scale automated architecture."
"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."
"The tool was very unstable and was constantly hogging the resources, even if was not operating at the moment."
"End to End connectivity could do with some improvement which I believe they are working on at this time."
"The free data profiler doesn't contain enough dashboards to give the user a better feel of the program."
"Its look and feel needs improvement. It has a lousy look and feel. Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals."
"I think the price modeling could be improved."
"I can't say the user interface is useless, but people don't use it because they find it cumbersome."
"It is not easy to set up and configure the tool."
"The biggest pain point for us is the documentation. Typically, you have to go through knowledge forums and knowledge groups to find out about the syntax issues for interfacing with new products. Typically, you've got to deal with someone who has been through the pain before. Their documents are not really up to date with current innovations happening in the industry. As big as they are, you can't really expect it, but that's our pain point."
"The UI is extremely complex"
"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."
"Error analysis becomes difficult as finding the exact location of the error in the logs is challenging."
 

Pricing and Cost Advice

Information not available
"We have licenses, and we are provided with certain particular services in the solution."
"The price is neither too high nor too low."
"I have heard from customers that the product comes with a huge license cost."
"We are quite happy with the licensing model."
"The licensing price of the product depends on the organization's requirements."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"I rate the product's pricing a seven on a scale of one to ten, where one is the lowest price and ten is the highest price."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
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Top Industries

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

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: August 2026.
911,952 professionals have used our research since 2012.