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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
16th
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) (9th), Business-to-Business Middleware (4th), API Management (18th), Cloud Data Integration (4th), Data Governance (3rd), Test Data Management (4th), 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 (5th), Product Information Management (PIM) (1st), Data Observability (2nd), AI Data Analysis (3rd)
 

Mindshare comparison

As of November 2026, in the Data Quality category, the mindshare of Experian Data Quality is 4.5%, up from 2.6% compared to the previous year. The mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 10.3%, down from 13.1% 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)10.3%
Experian Data Quality4.5%
Other85.2%
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

"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 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."
"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."
"X88 gave a quick view of the quality of the data and a rapid way to fix issues before exporting for use."
"The solution is straightforward."
"Informatica Cloud Data Integration is stable."
"Having access to PIM production, we get all the details of the supplier from here and we also get to update the information on the master catalog for urgent tasks."
"It is a very stable solution. I rate its stability a ten out of ten...It is a scalable solution...Informatica Axon's technical support is good."
"We are able to set rules, establish a data quality management platform, and monitor the quality."
"I feel like we're always getting good support from Informatica, even when there are technical challenges, it's one of the best things about the solution."
"Customer service and technical support are excellent."
"It has good processes and governance."
 

Cons

"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."
"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 free data profiler doesn't contain enough dashboards to give the user a better feel of the program."
"The product appears to be horizontally scalable, but is not something I would use in a large scale automated architecture."
"If you have to build an entire architecture, or when you compare from end-to-end, and multiple systems will be involved, then the performance of Informatica Intelligent Cloud Services needs improvement because connectivity issues in a complex system affect the performance."
"Data integration should be improved."
"This is a costly solution. We have several customers who evaluate it but then look for other solutions because of the cost. At present, Informatica MDM comes as an on-premises or cloud-based solution. I would like to see them offer a SaaS-based MDM model. I think they are working on it."
"We would like to have accessibility to the repository."
"Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data."
"The advertising makes promises about data analytics that it does not keep."
"Informatica MDM could be improved by adding drag and drop options, business data insights, and visualization reporting."
"The initial setup is very, very difficult."
 

Pricing and Cost Advice

Information not available
"Informatica is very expensive."
"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."
"It's an expensive solution."
"We got a 50% discount."
"We are quite happy with the licensing model."
"The licenses attached to the solution are highly priced."
"On a scale from one to ten, where one is cheap and ten is expensive, I rate the solution's pricing nine and a half out of ten."
"There is no doubt that it is very expensive, but the brand value comes at a cost. Other MDM solutions in the market that haven't proven themselves like Informatica are also pretty expensive. We need to understand that MDM itself is very expensive to implement. So, Informatica is also pretty expensive. I would rate it a two out of five for being pretty expensive."
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Top Industries

By visitors reading reviews
Retailer
11%
Financial Services Firm
11%
Manufacturing Company
9%
Comms Service Provider
9%
Financial Services Firm
11%
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: November 2026.
920,929 professionals have used our research since 2012.