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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
5.9
Number of Reviews
17
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 (5th)
 

Mindshare comparison

As of August 2025, in the Data Quality category, the mindshare of Informatica Cloud Data Quality is 6.6%, down from 9.0% compared to the previous year. The mindshare of SAP Information Steward is 3.2%, down from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

Mehmet SukruKaya - PeerSpot reviewer
Improved data quality significantly enhances project efficiency and effectiveness
I am not utilizing the data quality rules management part yet. We had a bad experience before Informatica Cloud Data Quality. We started a data analytics project that took more than three months of wasted time because we couldn't use the data to create the optimization model. If we have an application like Informatica Cloud Data Quality or a data quality platform, we can finish the project in less than three months. This is the on-prem data that we ingested. We don't use any cloud data that we have. For now, we are just using the on-prem data, and we don't have any integration from the data outside of the on-prem. I would recommend it to other users. On a scale of 1-10, I rate this solution a 9.
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 most valuable feature is the rule specification."
"Initial setup was fairly easy."
"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 quality of the data improves with Informatica Cloud Data Quality."
"I would definitely recommend Informatica Data Quality to others."
"The profiling features are much better than the on-premise version."
"Stability-wise, I rate the solution a ten out of ten."
"The out-of-the-box features and standard profiling options provide quick visibility of the data within minutes, which facilitates discussions with the business."
"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."
"Data insight is the most valuable feature."
"Ability to collect information, monitor user access and to plan storage capacity."
"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 data profiling was excellent, as was the ease of generating the dashboards."
"Initial setup was straightforward."
"Setup is straightforward."
"The most valuable features are data quality insight, metadata management, and metadata dictionary."
 

Cons

"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."
"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 stable."
"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."
"I definitely will not recommend Informatica Cloud Data Quality because it's very hard to manage the licensing model and the price is very high."
"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."
"Support response time could be better."
"The integration with older technology and cloud quality needs improvement."
"You cannot import the data discovery rules you create in the solution to the Cloud Data Governance and Catalog (CDGC)."
"The user experience of metapedia could be improved."
"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."
"A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies."
"We'd like to see some manipulation techniques included in SAP Information Steward."
"Performance could be improved."
"Needs to be more powerful on rules."
"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."
 

Pricing and Cost Advice

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

By visitors reading reviews
Financial Services Firm
11%
Computer Software Company
11%
Manufacturing Company
11%
Healthcare Company
7%
Manufacturing Company
21%
Government
15%
Financial Services Firm
14%
Computer Software Company
7%
 

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?
I think it would be very useful to have the same features on the data center version available on the cloud version. I remember when I used it, there was some limitation in one of the data quality ...
What is your primary use case for Informatica Cloud Data Quality?
I worked on a project where we had to use these tools to execute the data quality requirements from assessment perspectives to scorecards and similar tasks. I haven't used any other tools, so I can...
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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: July 2025.
865,484 professionals have used our research since 2012.