Infosolve Technologies Data Quality vs. Talend Data Quality

Infosolve Technologies Data Quality is ranked 35th in Data Scrubbing Software vs Talend Data Quality which is ranked 2nd in Data Scrubbing Software with 9 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". Infosolve 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 Infosolve 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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295,143 professionals have used our research since 2012.
Ranking
RANKING
Views
90
Comparisons
29
Reviews
0
Followers
6
Avg. Rating
N/A
Views
4,780
Comparisons
1,571
Reviews
8
Followers
50
Avg. Rating
7.9
Top Comparisons
Top ComparisonsSee more Infosolve Technologies Data Quality competitors »
Compared 33% of the time.
See more Talend Data Quality competitors »
Website/Video
Website/VideoInfosolve Technologies
Talend
Overview
OverviewInfosolve Technologies Data Quality can bring your enterprise data to an accurate, complete and standard state with innovative solutions.It can improve the quality and enhance all types of data including Customer Data, Inventory Data, Product Data, Financial Data.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 CustomersNorth American state health departmentAliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Top Industries
Top Industries
No Data Available
VISITORS READING REVIEWS
Financial Services Firm
39%
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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295,143 professionals have used our research since 2012.
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