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Oracle Data Quality pros and cons

Vendor: Oracle
4.2 out of 5
592 followers
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Oracle Data Quality Pros review quotes

Venkatraman Bhat - PeerSpot reviewer
Sep 14, 2022
The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. I also like that Oracle Data Quality is very fast, so you can use it for a large volume of data within a short period. You have to do the validation very quickly, so the solution helps in that area of data quality. Another feature of Oracle Data Quality that I like is the MDM (Master Data Management) where you'll have a single source of protection, and this makes the solution perfect and helpful to my company.
Venkatraman Bhat - PeerSpot reviewer
Apr 30, 2020
Once it is set up, it is easy to use and maintain.
BC
May 12, 2021
With Oracle Data Quality, the most valuable feature is entity matching.
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QA
Jun 14, 2021
I have found the most valuable features to be data cleansing and deduplication.
 

Oracle Data Quality Cons review quotes

Venkatraman Bhat - PeerSpot reviewer
Sep 14, 2022
Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution.
Venkatraman Bhat - PeerSpot reviewer
Apr 30, 2020
If the length of time required for deployment was reduced then it would be very helpful.
BC
May 12, 2021
Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script.
Find out what your peers are saying about Oracle, Informatica, Precisely and others in Data Quality. Updated: October 2024.
814,649 professionals have used our research since 2012.
QA
Jun 14, 2021
Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit.