Oracle Data Quality pros and cons

4.2 out of 5

8 reviews
88% willing to recommend

592 followers

Pros & Cons summary

Oracle Data Quality offers features like entity matching, data cleansing, and deduplication, making it a valuable tool. It is versatile, akin to Oracle GoldenGate and Oracle Data Integrator, with extraction, transformation, and validation capabilities. Though it enhances protection with its MDM feature, deployment time and coding requirements could improve. Integration with platforms like Azure Synapse is needed, and better accuracy in validation should align with diverse industry compliance demands.

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Prominent pros & cons

PROS

Once set up, Oracle Data Quality is easy to use and maintain.

Entity matching is a highly valuable feature of Oracle Data Quality.

Data cleansing and deduplication are among the most important features.

It includes extraction, transformation, and validation, making it multipurpose like Oracle GoldenGate and Oracle Data Integrator.

Oracle Data Quality's MDM provides a single source of protection, beneficial for businesses.

CONS

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

Oracle is not intuitive, requiring programmers to write code for many procedures, including CL SQL and CL scripts.

Oracle Data Quality should integrate with data warehousing solutions like Azure and CWS Office, such as Azure Synapse and SQL data warehousing.

While validation is good and fast, Oracle Data Quality needs improvement in validation accuracy as smaller products offer better accuracy.

An increase in compliance and regulations is needed to cover all industries, as multiple verticals demand data quality.

Oracle Data Quality Pros review quotes

Venkatraman Bhat

Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited

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.

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Venkatraman Bhat

Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited

Apr 30, 2020

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

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reviewer1572702

Project Manager/Application Architect at a insurance company with 1,001-5,000 employees

May 12, 2021

With Oracle Data Quality, the most valuable feature is entity matching.

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reviewer1601142

Integration Specialist at a government with 1,001-5,000 employees

Jun 14, 2021

I have found the most valuable features to be data cleansing and deduplication.

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Oracle Data Quality Cons review quotes

Venkatraman Bhat

Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited

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.

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Venkatraman Bhat

Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited

Apr 30, 2020

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

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reviewer1572702

Project Manager/Application Architect at a insurance company with 1,001-5,000 employees

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: December 2024.

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831,265 professionals have used our research since 2012.

reviewer1601142

Integration Specialist at a government with 1,001-5,000 employees

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.

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