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Pentaho Data Catalog 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

Pentaho Data Catalog
Ranking in Metadata Management
11th
Average Rating
9.0
Reviews Sentiment
7.1
Number of Reviews
1
Ranking in other categories
No ranking in other categories
SAP Information Steward
Ranking in Metadata Management
6th
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
9
Ranking in other categories
Data Quality (9th)
 

Mindshare comparison

As of May 2025, in the Metadata Management category, the mindshare of Pentaho Data Catalog is 0.8%, down from 2.1% compared to the previous year. The mindshare of SAP Information Steward is 3.9%, up from 3.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Metadata Management
 

Featured Reviews

Lisa Williams - PeerSpot reviewer
Helps make metadata available from our transactional databases, data warehouse, document management system, and GIS
As I've said, we've tagged a lot of fields that are related to specific processes, like the driller's log or, for example, if you want to get a license to be a well driller. Now, what I'm having to do for the consultants is create an Excel spreadsheet that has the name of the tag and a description of it. I'm now creating a data silo. What would be helpful is a place, inside Lumada Data Catalog, where you can describe the tags that you're using. Otherwise, anybody coming into the system, or seeing the tag from the outside in one of the reports, is going to say, "What is that tag really referring to?" and has to know where my spreadsheet is.
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 ability to easily and quickly ingest new data sources is the most valuable feature... I'm not an especially technical IT person, but my data governance lead and I are able to ingest the data, quickly profile it, and do data identification and tagging."
"Ability to collect information, monitor user access and to plan storage capacity."
"The data profiling was excellent, as was the ease of generating the dashboards."
"Initial setup was straightforward."
"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."
"Data insight is the most valuable feature."
"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."
 

Cons

"We've tagged a lot of fields that are related to specific processes... What would be helpful is a place, inside Lumada Data Catalog, where you can describe the tags that you're using. Otherwise, anybody coming into the system, or seeing the tag from the outside in one of the reports, is going to say, "What is that tag really referring to?" and has to know where my spreadsheet is."
"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."
"Performance could be improved."
"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."
"A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies."
"SAP Information Steward could be improved by offering a cloud version of the product."
"Needs to be more powerful on rules."
 

Pricing and Cost Advice

"We can afford it. We got a three-year contract... If it were to go up and price a lot, I don't know if I would be able to keep it."
"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
No data available
Manufacturing Company
22%
Financial Services Firm
16%
Government
13%
Computer Software Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Also Known As

Hitachi Lumada DataOps - Data Catalog
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 Informatica, Alation, Collibra and others in Metadata Management. Updated: April 2025.
849,963 professionals have used our research since 2012.