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SAP Data Hub vs SAP Information Steward 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

SAP Data Hub
Ranking in Metadata Management
8th
Average Rating
7.6
Reviews Sentiment
6.2
Number of Reviews
3
Ranking in other categories
Data Governance (26th)
SAP Information Steward
Ranking in Metadata Management
6th
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
9
Ranking in other categories
Data Quality (9th)
 

Mindshare comparison

As of February 2025, in the Metadata Management category, the mindshare of SAP Data Hub is 3.4%, up from 3.4% compared to the previous year. The mindshare of SAP Information Steward is 3.7%, up from 3.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management
 

Featured Reviews

VM
The solution is seamless, but the database sometimes leads to confusion
We used to have multiple different kinds of databases, which internally, had different compliance levels. Retention management is very different now. If the policy is live and the claim has been completed, I couldn't archive the claim. I needed to keep a reference integrity of that claim and understand which policy paid out the claim. With this solution, the policy came in six months ago and qualified for archiving. The claim had been paid and in every environment, the claim had been closed, including the reporting system, the claims system, etc. With the payment set gateway, I can just go and archive. But, we had a hard time during this process. I rate the overall solution a seven out of ten.
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 S/4HANA 1909 On-Premise"
"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."
"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."
"The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits."
"Data insight is the most valuable feature."
"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."
"Initial setup was straightforward."
"Setup is straightforward."
"The data profiling was excellent, as was the ease of generating the dashboards."
"The solution is very fast."
 

Cons

"The company has everything offshore."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."
"The support team is not very responsive."
"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."
"We'd like to see some manipulation techniques included in SAP Information Steward."
"Needs to be more powerful on rules."
"The user experience of metapedia could be improved."
"Granularity could be reduced from an application level to the object level."
"SAP Information Steward could be improved by offering a cloud version of the product."
 

Pricing and Cost Advice

"The Cloud is very expensive, but SAP HANA previous service is okay."
"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."
"SAP Information Steward is an expensive solution compared to others."
"I do not know if there were additional costs beyond the standard licensing fees."
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Top Industries

By visitors reading reviews
Manufacturing Company
14%
Computer Software Company
14%
Financial Services Firm
14%
Government
10%
Manufacturing Company
20%
Financial Services Firm
17%
Government
13%
Computer Software Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about SAP Data Hub?
SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database.
What needs improvement with SAP Data Hub?
We moved from Oracle. If you're aware of your monitoring system, the RPU market, and the managed system, you should move to HANA, which is an innovative database built by SAP itself. However, this ...
What is your primary use case for SAP Data Hub?
I technically handle the database, like cycle management projects. When transaction data comes in, we see it based on the retention periods. We have to move the data to some secure storage rather t...
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Also Known As

No data available
Information Steward, SAP Data Insight
 

Overview

 

Sample Customers

Kaeser Kompressoren, HARTMANN
American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated
Find out what your peers are saying about SAP Data Hub vs. SAP Information Steward and other solutions. Updated: January 2025.
837,501 professionals have used our research since 2012.