Runner Technologies Data Quality vs Talend Data Quality

Runner Technologies Data Quality is ranked 28th in Data Scrubbing Software vs Talend Data Quality which is ranked 2nd in Data Scrubbing Software with 10 reviews. The top reviewer of Talend Data Quality writes "Visual jobs are easier to understand than a piece of Java code and improve collaboration between colleagues". Runner Technologies Data Quality is most compared with . Talend Data Quality is most compared with Ataccama DQ Analyzer, Alteryx and Experian Data Quality.
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Quotes From Members Comparing Runner Technologies Data Quality vs Talend Data Quality

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
Pricing and Cost Advice
Information Not Available
We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced.I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license.

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Ranking
RANKING
Views
93
Comparisons
51
Reviews
0
Followers
16
Avg. Rating
N/A
Views
4,610
Comparisons
1,652
Reviews
9
Followers
62
Avg. Rating
8.1
Top Comparisons
Top ComparisonsSee more Runner Technologies Data Quality competitors »
Compared 33% of the time.
See more Talend Data Quality competitors »
Website/Video
Website/VideoRunner Technologies
Talend
Overview
OverviewRunner Technologies Data Quality corrects and standardizes postal addresses within Oracle, Ellucian and other enterprise systems (ERP, SIS, HCM, CRM, MDM). The integration provides address correction in real-time at the point of entry and for existing data via batch and change of address processing.The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.
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Sample Customers
Sample CustomersUniversity of Notre Dame, University of Oregon, Princeton University, Virgin mobile, VISA, Tupperware, USDA, City of Philadelphia, Simon & SchusterAliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Top Industries
Top Industries
No Data Available
VISITORS READING REVIEWS
Financial Services Firm
40%
Retailer
14%
Health, Wellness And Fitness Company
10%
Manufacturing Company
7%
Company Size
Company Size
No Data Available
REVIEWERS
Small Business
70%
Large Enterprise
30%
VISITORS READING REVIEWS
Small Business
14%
Midsize Enterprise
36%
Large Enterprise
49%
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288,256 professionals have used our research since 2012.
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