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SAP Information Steward vs erwin Data Catalog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 1, 2026

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

erwin Data Catalog
Ranking in Metadata Management
13th
Average Rating
7.6
Reviews Sentiment
5.1
Number of Reviews
2
Ranking in other categories
No ranking in other categories
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 (15th)
 

Mindshare comparison

As of March 2026, in the Metadata Management category, the mindshare of erwin Data Catalog is 3.1%, up from 2.0% compared to the previous year. The mindshare of SAP Information Steward is 3.0%, up from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management Mindshare Distribution
ProductMindshare (%)
SAP Information Steward3.0%
erwin Data Catalog3.1%
Other93.9%
Metadata Management
 

Featured Reviews

Andres-Martinez - PeerSpot reviewer
BI Data Analytics Engineer at Targa Research
Helps with metadata management, saves time, and allows us to do impact analysis on any changes
There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names. There were some issues when drawing the data models. If you have more than 500 or 600 tables, it takes a long time to display those in the right position on the screen. That can also be improved. They need some caching and some parallel pipelines working on the backend in order to divide it into sections.
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

"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming. That's one of the main benefits we use it for."
"When you combine it with data lineage, every time you need to make a change, it allows you to do impact analysis on any changes and then connect to the end-users or data stewards so that they can be aware that a change is coming."
"The data catalog feature is pretty good."
"I am very happy with the product."
"The most valuable features are data quality insight, metadata management, and metadata dictionary."
"The solution is very fast."
"Ability to collect information, monitor user access and to plan storage capacity."
"Data integration is much easier with Information Steward - irrespective of the data sources, integration is very smooth and easy."
"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 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 product has improved company efficiency because we're able to categorize the need for user access at the folder level across storage enterprise wide."
 

Cons

"There were some issues when drawing the data models. If you have more than 500 or 600 tables, it takes a long time to display those in the right position on the screen."
"There is room for improvement with respect to the connector and how to connect to the structured and unstructured database."
"There are always ways to improve things. For example, we can use AI to be able to find out something. When we are typing something, if we don't know the exact term, Artificial Intelligence would be useful to find terms that are phonetically or syntactically similar. Instead of having to type in the exact name, they can provide those in the list. So, they can provide AI support for the search because when you have thousands and thousands of terms, it is hard to remember all the names."
"In some cases they have given extraneous or erroneous information, which is completely useless."
"The user experience of metapedia could be improved."
"Performance could be improved."
"SAP is a bit pricey, and better tools are available for a lower price."
"Needs to be more powerful on rules."
"SAP Information Steward is an expensive solution compared to others."
"The user experience of metapedia could be improved."
"Granularity could be reduced from an application level to the object level."
 

Pricing and Cost Advice

"Erwin Data Catalog is very expensive."
"I am not very familiar with its pricing. I know it is not cheap, but it is also not super expensive. It depends on the company size. For a company making $1 million, it is very expensive. For a company making 10 million and above, it might be okay."
"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."
"SAP Information Steward is an expensive solution compared to others."
"A bit pricey, and better tools are available for a lower price."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
8%
Government
8%
Healthcare Company
8%
Manufacturing Company
20%
Government
17%
Comms Service Provider
5%
Retailer
5%
 

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

Which ETL tool would you recommend to populate data from OLTP to OLAP?
There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...
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Also Known As

No data available
Information Steward, SAP Data Insight
 

Overview

 

Sample Customers

Balfour Beatty Construction, Banco de México, BFSI Canada, CenturyLink, Daktronics
American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated
Find out what your peers are saying about SAP Information Steward vs. erwin Data Catalog and other solutions. Updated: March 2026.
885,286 professionals have used our research since 2012.