Compare Oracle Data Quality vs. Talend Data Quality

Oracle Data Quality is ranked 7th in Data Quality with 1 review while Talend Data Quality is ranked 6th in Data Quality with 2 reviews. Oracle Data Quality is rated 9.0, while Talend Data Quality is rated 8.6. The top reviewer of Oracle Data Quality writes "Easy to use and maintain, integrates well, and can handle any type of data". On the other hand, the top reviewer of Talend Data Quality writes "We found the Portal installation straightforward. However, it stopped working one day and we still cannot bring it back up and running, even with a reinstall". Oracle Data Quality is most compared with Informatica Data Quality and IBM QualityStage, whereas Talend Data Quality is most compared with Alteryx, Ataccama DQ Analyzer, Melissa Data Quality, Informatica Address Verification and RapidMiner.
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Most Helpful Review
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Find out what your peers are saying about SAP, SAS, Melissa and others in Data Quality. Updated: June 2020.
425,093 professionals have used our research since 2012.
Quotes From Members

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

Pros
Once it is set up, it is easy to use and maintain.

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With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects.We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work.The Studio is easy to understand.

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Cons
If the length of time required for deployment was reduced then it would be very helpful.

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You can't join more than two tables for analysis.SQL for displaying underlying data in non-match results does not work.In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs.

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Pricing and Cost Advice
The vendor needs to revisit their pricing strategy.

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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.

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Ranking
7th
out of 45 in Data Quality
Views
529
Comparisons
320
Reviews
1
Average Words per Review
686
Avg. Rating
9.0
6th
out of 45 in Data Quality
Views
1,806
Comparisons
1,100
Reviews
2
Average Words per Review
336
Avg. Rating
8.5
Popular Comparisons
Compared 40% of the time.
Compared 5% of the time.
Also Known As
Datanomic
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Oracle
Talend
Overview
Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data, resulting in trustworthy master data that integrates with applications to improve business insight.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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Learn more about Oracle Data Quality
Learn more about Talend Data Quality
Sample Customers
Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group, Aliaxis, Electrocomponents, M┬żNCHENER VEREIN, The Sunset Group
Top Industries
No Data Available
VISITORS READING REVIEWS
Software R&D Company44%
Media Company11%
Health, Wellness And Fitness Company7%
Healthcare Company7%
Find out what your peers are saying about SAP, SAS, Melissa and others in Data Quality. Updated: June 2020.
425,093 professionals have used our research since 2012.

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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.