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Compare IBM QualityStage vs. Microsoft Data Quality Services

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Ranking
16th
out of 41 in Data Quality
Views
412
Comparisons
371
Reviews
0
Average Words per Review
0
Rating
N/A
19th
out of 41 in Data Quality
Views
228
Comparisons
142
Reviews
0
Average Words per Review
0
Rating
N/A
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: September 2021.
540,884 professionals have used our research since 2012.
Comparisons
Also Known As
QualityStage
MS Data Quality Services
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Overview
IBM QualityStage is a foundational component for your data quality and information governance initiatives. It helps you create and maintain consistent views of key entities including customers, vendors, locations and products. This lets you investigate, cleanse and manage your data.

SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product. DQS enables you to build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data.

Offer
Learn more about IBM QualityStage
Learn more about Microsoft Data Quality Services
Sample Customers
PRO BTP, Gachon University Gil Hospital, Sicoob, NICE Systems, Integra LifeSciences Corp.
Information Not Available
Top Industries
VISITORS READING REVIEWS
Computer Software Company28%
Insurance Company13%
Financial Services Firm11%
Comms Service Provider9%
No Data Available
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: September 2021.
540,884 professionals have used our research since 2012.

IBM QualityStage is ranked 16th in Data Quality while Microsoft Data Quality Services is ranked 19th in Data Quality. IBM QualityStage is rated 0.0, while Microsoft Data Quality Services is rated 0.0. On the other hand, IBM QualityStage is most compared with IBM Infosphere Information Analyzer and Informatica Data Quality, whereas Microsoft Data Quality Services is most compared with Informatica Data Quality, Talend Data Quality and Informatica Cloud Data Quality.

See our list of best Data Quality vendors.

We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.