Compare Informatica Address Verification vs. Talend Data Quality

Informatica Address Verification is ranked 5th in Data Quality while Talend Data Quality is ranked 2nd in Data Scrubbing Software with 9 reviews. Informatica Address Verification is rated 0, while Talend Data Quality is rated 8.2. On the other hand, 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". Informatica Address Verification is most compared with Business Data Quality BDQ, Melissa Data Quality and Trillium TS Quality , whereas Talend Data Quality is most compared with Alteryx, Ataccama DQ Analyzer and Melissa Data Quality.
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Most Helpful Review
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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
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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
5th
out of 37 in Data Quality
Views
1,912
Comparisons
1,609
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
2nd
Views
2,008
Comparisons
1,160
Reviews
9
Average Words per Review
293
Avg. Rating
8.1
Top Comparisons
Compared 42% of the time.
Also Known As
AddressDoctor Data Quality
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Informatica
Talend
Overview

Data as a Service (DaaS) helps organizations of all sizes verify and enrich their data so they can confidently engage with their customers. With customer experience and engagement a top focus across all industries, ensure that messages and products make it to their intended targets via postal mail, email, or phone.

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
Emerson Process Management, JLLAliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
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.