No more typing reviews! Try our Samantha, our new voice AI agent.

SAP Information Steward vs ibi Data Quality 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

ibi Data Quality
Ranking in Data Quality
22nd
Average Rating
9.0
Reviews Sentiment
8.2
Number of Reviews
2
Ranking in other categories
Data Scrubbing Software (8th)
SAP Information Steward
Ranking in Data Quality
18th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Metadata Management (12th)
 

Mindshare comparison

As of August 2026, in the Data Quality category, the mindshare of ibi Data Quality is 2.4%, up from 0.7% compared to the previous year. The mindshare of SAP Information Steward is 2.9%, down from 3.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality Mindshare Distribution
ProductMindshare (%)
SAP Information Steward2.9%
ibi Data Quality2.4%
Other94.7%
Data Quality
 

Featured Reviews

VP
Solutions Architect at GreenZone Solutions Inc
Offers numerous prebuilt data quality plans that can be reused for various data cleansing tasks
We had many duplicates originating from different source systems. We were able to match and deduplicate a significant amount of data. Additionally, we could synchronize and write back the latest information to the systems that were out of sync, ensuring they had the most recent data. As a result, we could write back and update the source systems.
FranciscoSantos - PeerSpot reviewer
Director at Pixel Studio PTY
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

"Ibi Data Quality offers numerous prebuilt data quality plans that can be reused for various data cleansing tasks. Additionally, it provides a variety of prebuilt match and merge rules for performing master data management,"
"Works quickly to develop and deploy to production."
"One great feature with OmniGen is the time it takes to develop and deploy to production."
"The ability to analyze the data even before we start the transformation of it, and generating the user-friendly interface, giving analytical reports, and helping create the transformation rules before we proceed with the data migration part was the most helpful part of the solution for our company."
"The data profiling was excellent, as was the ease of generating the dashboards."
"The product has improved company efficiency because we're able to categorize the need for user access at the folder level across storage enterprise wide."
"The solution is user-friendly even for those who are dealing with it for the first time."
"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."
"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 solution is very fast, very stable, and very easy to use and straightforward."
 

Cons

"Their data governance portal can be improved. It lacks data governance-related features. Also, PII and anomaly detection could be valuable use cases for ibi. Adding these features would be a great enhancement."
"The special integration support is something that could be improved in the solution."
"We'd like to see some manipulation techniques included in SAP Information Steward."
"The support team is not very responsive."
"SAP Information Steward could be improved by offering a cloud version of the product."
"Needs to be more powerful on rules."
"A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies."
"Granularity could be reduced from an application level to the object level."
"SAP is a bit pricey, and better tools are available for a lower price."
"In some cases they have given extraneous or erroneous information, which is completely useless."
 

Pricing and Cost Advice

Information not available
"Smaller-sized organizations may not be able to invest in SAP Information Steward because of the cost."
"SAP Information Steward is an expensive solution compared to others."
"I do not know if there were additional costs beyond the standard licensing fees."
"A bit pricey, and better tools are available for a lower price."
report
Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
909,725 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Manufacturing Company
19%
Government
11%
Financial Services Firm
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business1
Large Enterprise7
 

Also Known As

iWay Software Data Quality, iWay Omni-Gen Data Quality Edition, Omni-Gen Data Quality
Information Steward, SAP Data Insight
 

Overview

 

Sample Customers

ICA Fluor, Estonia Police Department, Kansas City Police Department
American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated
Find out what your peers are saying about SAP Information Steward vs. ibi Data Quality and other solutions. Updated: August 2026.
909,725 professionals have used our research since 2012.