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SAP Information Steward vs Uniserv Data Quality Suite comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

SAP Information Steward
Ranking in Data Quality
8th
Average Rating
7.6
Number of Reviews
9
Ranking in other categories
Metadata Management (7th)
Uniserv Data Quality Suite
Ranking in Data Quality
18th
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of September 2024, in the Data Quality category, the mindshare of SAP Information Steward is 6.9%, down from 9.8% compared to the previous year. The mindshare of Uniserv Data Quality Suite is 2.4%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

Apr 1, 2021
Great for collecting, monitoring and planning storage capacity; functionality could be improved
I would like to see the granularity of the configuration reduced from a global or an application level to the object level, together with the ability to archive data retention and make reporting and indexes faster. I'd also like the ability to get inside the individual information collections on a more specific level and to get information directly related to a topic. They currently have BIRT, a business information reporting tool and I'm forced to use that to extrapolate information unless I want to go through the command line which has very poorly documented access. They put out a syntax and then you have to experiment to figure out how it actually works. One area of improvement would be the documentation on the application, its third party dependencies, and the functionality of the command line features. I think improvements could be made in performance. I have some situations where I can throw more resources than the application can handle, and I will not get better performance. The issue is that indexing is single-threaded so I'll never be able to make one thread faster. If it could be done in parallel threads, it would all be more efficient. With a date timestamp I'm limited to a single thread, those are the limitations in the threading model of the application. The threading model creates bottlenecks all over the application.
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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pricing and Cost Advice

"A bit pricey, and better tools are available for a lower price."
"I do not know if there were additional costs beyond the standard licensing fees."
"SAP Information Steward is an expensive solution compared to others."
"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
Manufacturing Company
18%
Financial Services Firm
16%
Computer Software Company
15%
Government
9%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about SAP Information Steward?
The scorecard will highlight the percentage of good data and ensure the user can feel confident that the data is accurate within predetermined limits.
What is your experience regarding pricing and costs for SAP Information Steward?
Smaller-sized organizations may not be able to invest in SAP Information Steward because of the cost.
What needs improvement with SAP Information Steward?
SAP Information Steward could be improved by offering a cloud version of the product. Rather than creating an evolution of this product, they have created a completely different solution with Data ...
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Also Known As

Information Steward, SAP Data Insight
Data Quality Batch Suite, Uniserv Data Quality Explorer, Uniserv Data Quality Monitor, Uniserv Data Quality Real-Time Services
 

Learn More

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Overview

Information not available
 

Sample Customers

American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated
Volkswagen, Siemens
Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality. Updated: August 2024.
800,688 professionals have used our research since 2012.