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Informatica Cloud Data Quality vs SAP Information Steward comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 6, 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 Cloud Data Quality
Ranking in Data Quality
3rd
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
14
Ranking in other categories
No ranking in other categories
SAP Information Steward
Ranking in Data Quality
9th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Metadata Management (6th)
 

Mindshare comparison

As of May 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 8.4%, down from 10.4% compared to the previous year. The mindshare of SAP Information Steward is 3.4%, down from 4.6% 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.
FranciscoSantos - PeerSpot reviewer
Provides accurate data that is validated against a personalized reference tool
For most SAP customers, Information Steward is enough because it is able to build quality data rules to detect issues in the source systems like SAP HANA, Business Warehouse, or other systems. A business user can first organize their data into several data domains. For example, procurement, human resources, and logistics setup. The domains can build data quality dimensions where you can describe the kind of rule that you are going to use. The user then can immediately see if something is wrong with their data using traffic lights. Another great feature of SAP Information Steward is the accuracy that the content is followed by validating against the reference tool. With the solution, you are creating data quality dimensions. Within these dimensions, you are creating business data quality rules that are looking for specific fields. From these rules, you can create a scorecard. The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits. SAP tables have field names that are very cryptic, making them hard to understand the meaning of the fields. Metapedia helps describe these fields in business terms.

Quotes from Members

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

Pros

"The quality of the data improves with Informatica Cloud Data Quality."
"The most valuable feature is the rule specification."
"Server maintenance, server hosting, backup, restoration, and DB capabilities are not needed in the cloud."
"Initial setup was fairly easy."
"The user-friendliness and performance of Informatica is quite impressive."
"We primarily used Cloud Data Profiling to connect with Cloud Data Governance, a tool also used by Teva. This integration allowed users to access data quality results within the data governance catalog."
"I would definitely recommend Informatica Data Quality to others."
"An advantage is its seamless integration with other Informatica capabilities, making data quality a deeply embedded part of the solution."
"Ability to collect information, monitor user access and to plan storage capacity."
"Data insight is the most valuable feature."
"The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits."
"The solution is very fast."
"The data profiling was excellent, as was the ease of generating the dashboards."
"The Data Cleansing and the scorecard dashboard are very valuable. Additionally, the financial aspect of SAP Information Steward is very good. When a rule is incorrect then it will show how much is it costing the business. These features are very valuable."
"Setup is straightforward."
"The most valuable features are data quality insight, metadata management, and metadata dictionary."
 

Cons

"The high price of the product is an area of concern where improvements are required."
"Improving the UI to be more business user-friendly would also be beneficial."
"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."
"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."
"Logical views are a little bit behind in comparison to the on-premise version."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"If given the opportunity, I would like to address these concerns, particularly with regard to enhancing the end-user experience."
"SAP Information Steward could be improved by offering a cloud version of the product."
"Granularity could be reduced from an application level to the object level."
"The solution could improve by incorporating other applications, such as Power BI to show more visualization. More interaction with other solutions would be a good benefit."
"A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies."
"Performance could be improved."
"The user experience of metapedia could be improved."
"We'd like to see some manipulation techniques included in SAP Information Steward."
"Needs to be more powerful on rules."
 

Pricing and Cost Advice

"We pay for a yearly subscription."
"Informatica Cloud Data Quality is a costly solution."
"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."
"SAP Information Steward is an expensive solution compared to others."
"A bit pricey, and better tools are available for a lower price."
"Smaller-sized organizations may not be able to invest in SAP Information Steward because of the cost."
"I do not know if there were additional costs beyond the standard licensing fees."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
10%
Computer Software Company
8%
Educational Organization
6%
Manufacturing Company
22%
Financial Services Firm
16%
Government
13%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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?
Informatica Cloud Data Quality has significant room for improvement. It is not stable, and there are several issues, especially on the cloud side, unlike the on-premise version which was very stabl...
What is your primary use case for Informatica Cloud Data Quality?
We use Informatica Cloud Data Quality ( /products/informatica-cloud-data-quality-reviews ) in a medium business environment.
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Also Known As

Cloud Data Quality Radar
Information Steward, SAP Data Insight
 

Overview

 

Sample Customers

Freddie Mac, Rabobank
American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated
Find out what your peers are saying about Informatica Cloud Data Quality vs. SAP Information Steward and other solutions. Updated: April 2025.
850,028 professionals have used our research since 2012.