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

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 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

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) (5th), 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) (4th), 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 March 2026, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 9.8%, down from 19.5% compared to the previous year. The mindshare of Microsoft Data Quality Services is 2.0%, up from 1.1% 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)9.8%
Microsoft Data Quality Services2.0%
Other88.2%
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

"The product improves data quality."
"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."
"The advanced features like task flow and conditional integration are particularly useful."
"MDM is very stable - it can handle millions of hits daily and still run 24/7."
"It gives you accountability to centralize your data and have it available to different applications."
"We can see all our information on a single screen."
"The solution has the best feature for parameterization."
"I rate the technical support a ten out of ten."
"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

"I have encountered some issues using the substitution, which is one of the techniques of data masking."
"One area that could use improvement is the speed of the web interfaces. At present, they are very slow. I think it is essential that we are original and robust on-premises."
"The ability of the product to leverage the power of big data could be improved."
"Permissions, scalability, and connection with other informatic tools are the main areas that need development. Integration with other tools, such as IDQ, is challenging. The management of data discovery is highly challenging because many data points have identical definitions."
"There are a small number of UI bugs that occur on occasion."
"This service could be more cost-effective."
"The integration process is not easy."
"There are a small number of UI bugs that occur on occasion."
"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

"It's an expensive solution."
"The pricing is quite flexible."
"Informatica Axon is expensive."
"We switched to Informatica PIM because it was cheaper than the Oracle solution. It is cheaper initially, but they will bundle it later. This is what happens in the industry."
"I rate the licensing cost of Informatica MDM a five out of ten."
"I have heard from customers that the product comes with a huge license cost."
"it's expensive, but if you're looking for a stable solution, Informatica MDM is a good one to choose."
"We pay for a yearly subscription."
"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
11%
Computer Software Company
7%
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: March 2026.
884,873 professionals have used our research since 2012.