Try our new research platform with insights from 80,000+ expert users

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) (13th), 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 (3rd), 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 April 2025, in the Data Quality category, the mindshare of Informatica Intelligent Data Management Cloud (IDMC) is 20.6%, down from 25.5% compared to the previous year. The mindshare of Microsoft Data Quality Services is 1.2%, 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

"A great product enrichment tool."
"The most valuable feature of Informatica Axon is that it is flexible and user-friendly."
"The user interface which is very easy to use if we have any problems to solve."
"It has a more UI-based tool, and the scripting is good."
"It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy."
"Multifeatured and easily scalable data catalog, with good data domain discovery and data profiling features."
"We have a lot of integrations, and it's very easy to create integrations. They have a lot of connectors."
"Data integration is the most valuable feature. The ability to connect to any of the sources and enterprise applications makes our lives easier."
"This solution is particularly useful for data enrichment."
 

Cons

"Informatica Cloud Data Integration can improve by being more user-friendly. When you're working with the solution a lot of technical knowledge is required. It's not a solution that anyone can use properly, you need knowledge of what's happening at the back end, such as SQL. When you get stuck, you need to look into your logic. For other tools, such as Dell Boomi, anyone can use them."
"The on-prem solution is harder to learn than the cloud-based versions."
"The solution should improve its integration."
"Its look and feel needs improvement. It has a lousy look and feel. Informatica PIM is designed specifically for the retail industry. They need to make sure that it is also applicable to all the other industries and verticals."
"There are some limitations with Informatica Axon when one tries to connect or integrate it with Jira."
"Interoperability is one area where EDC has room for improvement. It was challenging when the faculty took over the data world and had specific vendors they wanted to use, and some were not particularly open platforms."
"They could improve technical support because it is not good enough at the moment."
"If I want to scan the metadata from the data lineage or the Python code, such areas can get tedious in the tool."
"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

"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."
"We got a 50% discount."
"It's a very expensive solution"
"The price is high, but the competitors are even higher, like Collibra."
"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 solution's pricing model is easy, but it is very expensive."
"Informatica is very expensive."
"The pricing is in the midrange. It's not cheap, but it depends on the licenses you require."
report
Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
845,040 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
12%
Manufacturing Company
10%
Insurance Company
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.
845,040 professionals have used our research since 2012.