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Informatica Cloud Data Quality 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 Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.4
Reviews Sentiment
7.8
Number of Reviews
12
Ranking in other categories
No ranking in other categories
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 February 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 9.0%, down from 10.1% compared to the previous year. The mindshare of Microsoft Data Quality Services is 0.9%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

TaherDungrawala - PeerSpot reviewer
Has good reusability and CDI features
I use Collibra Data Quality. I switched to Informatica because Collibra cannot integrate. Colibra Cloud Data Quality is a very basic tool. There is no integration capability. If you have problem records, there is no fix to remediate them using the same tool. With Informatica, you can integrate with CDI and then create a remediation plan.
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

"The reusability factors are nice. The Cloud Data Quality is much better. A major flaw in the previous version was integration with the catalog, which is now seamless."
"One of the most valuable features of Informatica Cloud Data Quality is Master Data Management. You can write code to build your logic rules to check the quality."
"The profiling features are much better than the on-premise version."
"The user-friendliness and performance of Informatica is quite impressive."
"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"The out-of-the-box features and standard profiling options provide quick visibility of the data within minutes, which facilitates discussions with the business."
"Initial setup was fairly easy."
"This solution is particularly useful for data enrichment."
 

Cons

"Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol or .com domain. Instead, it's about advanced validation, such as verifying if an email address exists or if a phone number is valid."
"In the on-premises version, features like web service consumer and web service provider are available, but these functionalities are currently unavailable in the cloud edition."
"In certain domains, I am looking for material-level match features that are not customizable. The current solution requires code-writing and tweaking, while other solutions offer material-level matches."
"Support response time could be better."
"Some capabilities from the cloud version are not included in the on-premises version."
"I used to use this tool more but recently we have been using another tool that we feel is better because it handles spatial data. Informatica Cloud Data Quality could improve by adding the ability to handle spatial data."
"Informatica Cloud Data Quality could improve by adding more algorithms for matching and mastering. We currently only have five or six. Additionally, the parallelism in data is better in other solutions, such as IBM."
"Improving the UI to be more business user-friendly would also be beneficial."
"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

"We pay for a yearly subscription."
"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."
"Informatica Cloud Data Quality is a costly solution."
"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
15%
Manufacturing Company
12%
Computer Software Company
7%
Educational Organization
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Informatica Cloud Data Quality?
The profiling features are much better than the on-premise version.
What needs improvement with Informatica Cloud Data Quality?
Accessing data as a service is essential, especially for validations requiring external data services. This goes beyond basic syntactic checks, like ensuring an email address contains the @ symbol ...
What is your primary use case for Informatica Cloud Data Quality?
We use the solution to validate emails, telephone numbers, and postal codes. It can also create some data quality rules using the Cloud app's data quality function.
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

Cloud Data Quality Radar
MS Data Quality Services
 

Overview

 

Sample Customers

Freddie Mac, Rabobank
Information Not Available
Find out what your peers are saying about Informatica, SAP, Syniti and others in Data Quality. Updated: February 2025.
838,713 professionals have used our research since 2012.