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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
14th
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) (5th), Business-to-Business Middleware (1st), API Management (9th), 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) (5th), Test Data Management Services (3rd), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (1st)
 

Mindshare comparison

As of October 2026, in the Data Quality category, the mindshare of Experian Data Quality is 4.4%, up from 2.2% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 10.0%, down from 13.8% 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)10.0%
Experian Data Quality4.4%
Other85.6%
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."
"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 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."
"It is excellent for data profiling."
"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."
"Pandora provides a quick, efficient way to analyze, control and improve data using integrated technology."
"The customer service was very good."
"It's probably one of the leading lights in ETL."
"It is cost effective and an easily accessible tool."
"The most valuable features are the structure masking and platform masking."
"The product seems stable enough."
"Informatica comes with a predefined data model which is the way in which you enrich your products, acting not only as master data but also as a product enrichment tool, providing flexibility with an undefined number of attributes that define a product and the ability to plug it in with any e-commerce website."
"This product really improves my organization and fits all of the needed requirements for working with cleansed data."
"I do a quite a lot of data transformations, and the fact that I can do them without changing any of my SQL queries from the code, using the inbuilt tools, is very helpful."
"The best part about the Informatica Intelligent Data Management Cloud (IDMC) is the modularity; when I say modularity, I mean the things get easier by working into different modules."
 

Cons

"The product appears to be horizontally scalable, but is not something I would use in a large scale automated architecture."
"The online training is very useful but needs expanding and updating – it has loads of potential."
"It is way, way over-priced in my opinion."
"The free data profiler doesn't contain enough dashboards to give the user a better feel of the program."
"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."
"Informatica goes down for maintenance quite a lot due to the upgrades."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"They have to improve their relationship discovery tool. They say that they have AI inside, but this AI did not automatically find relationships or suggested relationships between entities."
"With the solution, we had some issues, and we have every day, and we used to open a ticket. Sometimes, there are data issues and transformation issues."
"The UI is extremely complex"
"Exploring the possibility of incorporating AI capabilities that can suggest additional rules would significantly streamline our data analysis process following data profiling."
"Its look and feel needs improvement. It has a lousy look and feel."
"There are also some technical issues sometimes with integrations because clients have a lot of different types of data sources."
 

Pricing and Cost Advice

Information not available
"I rate the licensing cost of Informatica MDM a five out of ten."
"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."
"I rate the product's pricing a five on a scale of one to ten, where one is cheap and ten is expensive."
"The solution is very expensive."
"In terms of the licensing for Informatica Intelligent Cloud Services, we had the option of paying based on the number of users and paying based on the volume of data, and we went with the data volume licensing option. Informatica Intelligent Cloud Services isn't as expensive as CIG. The pricing for it is okay, so I'm rating it a four out of five in terms of pricing. We did use the email verification and address validation services which weren't part of the contract, so we had to pay additional fees for those services."
"The pricing structure is good, but having to pay for extra drivers to be used in an ICS environment makes me a little nervous."
"The product is not very pocket-friendly for small and medium-sized businesses, and it is understandable because of the kind of features the tool gives."
"The pricing is high compared to other tools on the market."
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Top Industries

By visitors reading reviews
Retailer
11%
Financial Services Firm
11%
Manufacturing Company
9%
Comms Service Provider
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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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.
916,212 professionals have used our research since 2012.