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Data Hub vs SAP Information Steward comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 7, 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

Data Hub
Ranking in Metadata Management
7th
Average Rating
9.4
Reviews Sentiment
2.2
Number of Reviews
3
Ranking in other categories
AI Observability (12th)
SAP Information Steward
Ranking in Metadata Management
10th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Quality (13th)
 

Featured Reviews

reviewer2784462 - PeerSpot reviewer
Software Engineer at a tech vendor with 10,001+ employees
Centralized metadata has empowered governed data discovery and clarified ownership for all teams
The impact is very positive, and there are many benefits for us using Data Hub because it was easier to make data governance, create centralized metadata management, improve data discoverability, and manage data in general. The areas for improvement, in my opinion, are the initial setup and configuration that can be complex without prior experience, especially in large-scale environments. User experience for non-technical users could be further simplified, particularly around advanced metadata concepts. The out-of-the-box governance workflow, for example, approvals and certification, could be more prescriptive for customers at early maturity stages. Data Hub can be improved in the initial setup and configuration that is somewhat complex, and also in operational monitoring that could benefit from more native dashboards and alerts. However, these are not blockers, but areas where additional guidance or product enhancement would further accelerate adoption.
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

"Data Hub proved to be a robust, scalable, enterprise-ready data catalog that is well-suited for AWS-based architecture and complex organizational environments."
"Initial setup was straightforward."
"The data profiling was excellent, as was the ease of generating the dashboards."
"The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits."
"Ability to collect information, monitor user access and to plan storage capacity."
"Setup is straightforward."
"The solution is very fast."
"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 most valuable features are data quality insight, metadata management, and metadata dictionary."
 

Cons

"The areas for improvement, in my opinion, are the initial setup and configuration that can be complex without prior experience, especially in large-scale environments."
"A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies."
"The support team is not very responsive."
"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."
"SAP Information Steward could be improved by offering a cloud version of the product."
"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."
"Granularity could be reduced from an application level to the object level."
 

Pricing and Cost Advice

Information not available
"I do not know if there were additional costs beyond the standard licensing fees."
"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."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
21%
Government
18%
Retailer
7%
Computer Software Company
6%
 

Company Size

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

Questions from the Community

What needs improvement with Data Hub?
The impact is very positive, and there are many benefits for us using Data Hub because it was easier to make data governance, create centralized metadata management, improve data discoverability, a...
What is your primary use case for Data Hub?
We adopted Data Hub in the context of a large enterprise customer operating in a regulated industry with a strong focus on data governance, data discoverability, and ownership clarity across multip...
What advice do you have for others considering Data Hub?
Based on internal measurement and feedback from the data teams, there are many impacts. Time to locate and understand a data set was reduced by approximately 40-50 percent. Manual documentation eff...
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Also Known As

Acryl Data
Information Steward, SAP Data Insight
 

Overview

 

Sample Customers

Information Not Available
American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated
Find out what your peers are saying about Data Hub vs. SAP Information Steward and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.