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Informatica Intelligent Data Management Cloud (IDMC) vs Microsoft Data Quality Services comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 11, 2025

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

Informatica Intelligent Dat...
Ranking in Data Quality
1st
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
214
Ranking in other categories
Data Integration (2nd), Business Process Management (BPM) (6th), Business-to-Business Middleware (2nd), API Management (6th), Cloud Data Integration (3rd), Data Governance (3rd), Test Data Management (3rd), 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)
Microsoft Data Quality Serv...
Ranking in Data Quality
17th
Average Rating
7.6
Reviews Sentiment
4.4
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 9.9%, down from 19.5% compared to the previous year. The mindshare of Microsoft Data Quality Services is 1.8%, up from 0.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Market Share Distribution
ProductMarket Share (%)
Informatica Intelligent Data Management Cloud (IDMC)9.9%
Microsoft Data Quality Services1.8%
Other88.3%
Data Quality
 

Featured Reviews

Divya-Raj - PeerSpot reviewer
Sr. Consultant cum Assistant Manager & Offshore Lead at Deloitte
Handles large data volumes effectively and offers competitive pricing
There is a lot of improvement required, as we still face some cache issues most of the time, which is a challenge that we expect to see resolved in the future. Additionally, there is some limitation when we are working with a tool, especially regarding In and Out parameters, and I feel that this aspect should be improved going ahead. We face issues with the API side, as Cloud Application Integration cannot handle large volumes; according to the API page, there is a limitation of 500 records or 500 MB. The AI integrated into the Informatica Intelligent Cloud Services solution is called Application Integration, where we still face challenges when dealing with huge volumes, as previously explained.
Satyam Saxena - PeerSpot reviewer
Technical Lead at a computer software company with 5,001-10,000 employees
Automation in data management improves with built-in error rejection but technical support needs enhancement
Multiple areas in Microsoft Data Quality Services could be improved, such as its ability to perform changes automatically, as it currently identifies but does not correct data issues. Regular expression processing is complicated and slow. Technical support from Microsoft is poor, as they do not provide adequate assistance with issues encountered in integration or forming automation. Sometimes solutions to problems take several weeks due to a lack of support, relying instead on personal networks and experience.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Axon has a marketplace that allows you to showcase all the assets the data owner has, so they can request access. That's one feature we use extensively. Axon also offers great visibility and intuitive searchability, allowing you to easily search data assets. You can check the lineage and see the work EDC does. EDC handles all the classification, cataloging, and lineage. It's integrated with Axon, and anyone can see that."
"Seeing the data in the mapping itself is really nice."
"I rate the technical support a ten out of ten."
"The most valuable feature of Informatica Axon is that it is flexible and user-friendly."
"The most beneficial feature of Informatica Cloud Data Quality is it's cloud-based."
"The solution's initial setup is quite straightforward."
"There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data."
"We use it for various use cases, including data provisioning, data validation, continuous monitoring of data quality, and data standardization."
"This solution is particularly useful for data enrichment."
"The primary advantage of Microsoft Data Quality Services is its capability to automate certain tasks, which are otherwise achieved through SQL queries."
 

Cons

"Needs to implement the new workflow with simple steps and a quick visualization with a 360 view of the data."
"There is room for improvement in the support. The response time could be faster."
"Improving the UI to be more business user-friendly would also be beneficial."
"Support response time could be better."
"The integration with older technology and cloud quality needs improvement."
"The pricing model is problematic."
"Informatica Axon's response times and certain aspects of the admin panel could be enhanced for better usability."
"The solution should improve its integration."
"Technical support from Microsoft is poor, as they do not provide adequate assistance with issues encountered in integration or forming automation."
"I would rate my experience with the initial setup a six out of ten, with one being very easy and ten being extremely challenging. So, there is room for improvement in the setup process."
 

Pricing and Cost Advice

"The solution is expensive."
"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 Axon is a costly solution. I rate Informatica Axon a four out of ten for its pricing."
"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."
"Informatica Cloud Data Quality is a costly solution."
"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."
"It's a very expensive solution"
"Informatica MDM's price could be lower."
"The pricing is in the midrange. It's not cheap, but it depends on the licenses you require."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
8%
Retailer
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business51
Midsize Enterprise27
Large Enterprise153
No data available
 

Questions from the Community

How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
Which Informatica product would you choose - PowerCenter or Cloud Data Integration?
Complex transformations can easily be achieved using PowerCenter, which has all the features and tools to establish a real data governance strategy. Additionally, PowerCenter is able to manage huge...
What are the biggest benefits of using Informatica Cloud Data Integration?
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 ...
What is your experience regarding pricing and costs for Microsoft Data Quality Services?
Microsoft Data Quality Services comes as part of SQL Server without additional costs, making it a competitive solution.
What needs improvement with Microsoft Data Quality Services?
Multiple areas in Microsoft Data Quality Services could be improved, such as its ability to perform changes automatically, as it currently identifies but does not correct data issues. Regular expre...
What is your primary use case for Microsoft Data Quality Services?
I use Microsoft Data Quality Services ( /products/microsoft-data-quality-services-reviews ) to handle data inconsistencies, such as missing or improperly formatted data. The tool serves purposes li...
 

Also Known As

ActiveVOS, Active Endpoints, Address Verification, Persistent Data Masking
MS Data Quality Services
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Information Not Available
Find out what your peers are saying about Informatica Intelligent Data Management Cloud (IDMC) vs. Microsoft Data Quality Services and other solutions. Updated: February 2026.
881,707 professionals have used our research since 2012.