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

 

Comparison Buyer's Guide

Executive Summary

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
7.8
Reviews Sentiment
6.8
Number of Reviews
182
Ranking in other categories
Data Integration (3rd), Business Process Management (BPM) (11th), Business-to-Business Middleware (4th), API Management (8th), Cloud Data Integration (3rd), Data Governance (2nd), Test Data Management (3rd), Cloud Master Data Management (MDM) Solutions (1st), Data Management Platforms (DMP) (1st), Data Masking (2nd), Metadata Management (1st), Test Data Management Services (2nd), Product Information Management (PIM) (1st), Data Observability (2nd)
Microsoft Data Quality Serv...
Ranking in Data Quality
13th
Average Rating
8.0
Reviews Sentiment
5.1
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2025, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 20.4%, down from 25.4% compared to the previous year. The mindshare of Microsoft Data Quality Services is 1.1%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

Raj Sethupathi - PeerSpot reviewer
Offers profiling and address standardization but can be complicated
Informatica Data Quality has its data warehouse, primarily using Oracle and some SQL databases. You need a database to host the data. The cleansed version of the data is stored in the data warehouse. It integrates with PowerCenter and other Informatica tools. The integration details can be complex, but a regional setup is involved in this process. Profiling smaller datasets, such as 10,000-50,000 records, worked fine. However, unexpected issues could arise with larger datasets, such as thousands of records or more, especially with tables containing many columns. Handling tables with fifty or more columns can be challenging, even in Excel. A mismatch in data types could cause the entire system to crash. Continual enhancements are being made to address these issues, which can be unique to specific industries like finance and healthcare.
Duke Obasi - PeerSpot reviewer
Usefulness of data enrichment features, which can help improve data quality and accuracy
It works as we use it. We've been using it for quite some time, even if we look back ten years. We make use of the features it provides, and we're continuously exploring more. For instance, it excels in data quality, data matching, and cleansing. It performs admirably in these areas.

Quotes from Members

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

Pros

"It has all the advantages of the Cloud in that you can use it without worrying about infrastructure, upkeep, or upgrades."
"You can extract and transfer your data as you wish it to be consumed later."
"It has flexibility in extending the data model."
"The Mapping Designer allows for declarative ETL development (visual scripting) that leverages a wide array of different transformations."
"The data mapping capability is a valuable feature."
"The application integration will give you more flexibility when dealing with APIs."
"The technical support services are good."
"Axon does one interesting thing that I don't think other tools do as well. It lets you rate data and incorporates Informatica's data quality feature into it. There are little indications and graphics that show you how good the data quality is, and you can drill into it to see where potential issues lie."
"This solution is particularly useful for data enrichment."
 

Cons

"Informatica MDM has limitations with connectivity."
"I would like to see support for more data sources."
"There could be a lot more application integration."
"Informatica's issue is the licensing. Right now, there are a lot of new gen MDMs that are offering a lot in a single licensing model."
"Database access is highly restricted particularly if you're using the cloud version."
"I have received feedback from certain teams and there is a steep learning curve to use this solution."
"We'd like to see the microservices, which don't run yet because the solution is not yet fully cloud-based."
"The UX and UI of the solution are areas with certain shortcomings where improvements can be made in the future."
"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

"Cost-wise, I think it is on the higher side, and that is why we are looking for some better options. Licensing costs are huge compared to other players in the market and for my company."
"Pricing is determined by the number of licensed users as well as the number of Core CPUs."
"My understanding is that Informatica is quite expensive compare to other tools that are available in the market."
"You pay for this solution based on IPUs, Informatica Processing Units. This depends on how much data you process and how much memory you consume from the cloud provider, and you pay as you go."
"Informatica Cloud Data Integration is famously known for its high price. The vendor targets large enterprises, and not medium or small companies. These large companies, and organizations, handle large amounts of data. If you go into any large bank, such as American or Canadian banks, these banks use this solution because it is more reliable, secure, and has more functionality."
"Informatica MDM is very expensive. Apart from licensing fees, they have broken down their products into multiple products, and they charge for each and every product. If the data is huge, they charge for the data. At times, we have to use third party services for data cleaning, and they charge for that as well."
"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."
"The product is highly-priced."
"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
17%
Computer Software Company
12%
Manufacturing Company
10%
Government
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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 do you like most about Microsoft Data Quality Services?
This solution is particularly useful for data enrichment.
What is your experience regarding pricing and costs for Microsoft Data Quality Services?
The pricing is in the midrange. It's not cheap, but it depends on the licenses you require. We are an enterprise partner and have an enterprise agreement, so we may not see it as a separate cost.
What needs improvement with Microsoft Data Quality Services?
It's actually typical of Microsoft products. It's not overly easy, but at the same time, it's not like trying to fix a pipe that's burst. You do need to configure a few things to tackle some issues...
 

Also Known As

ActiveVOS, Active Endpoints, BPM, Address Verification, Persistent Data Masking, Cloud Test Data Management, PIM, , Enterprise Data Catalog, Data Integration Hub, Cloud Data Integration, Data Quality, Cloud API and App Integration
MS Data Quality Services
 

Overview

 

Sample Customers

The Travel Company, Carbonite
Information Not Available
Find out what your peers are saying about Informatica, SAP, Syniti and others in Data Quality. Updated: March 2025.
842,296 professionals have used our research since 2012.