Oracle Enterprise Data Quality (EDQ) pros and cons

Name: Oracle Enterprise Data Quality (EDQ)
Brand: Oracle
Rating: 4.2 (8 reviews)

Vendor: Oracle

4.2 out of 5

8 reviews
88% willing to recommend

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Pros & Cons summary

Oracle Enterprise Data Quality is recognized for ease of use and essential features like entity matching, data cleansing, and deduplication. Its capabilities in extraction, transformation, and validation provide versatile functionality, while fast processing aids in large data management. However, the deployment time could improve, and integration with solutions like Azure Synapse is suggested. Code-based procedures and less intuitive design present challenges, and accuracy of validation needs enhancement to meet diverse industry standards.

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Prominent pros & cons

PROS

Oracle Data Quality excels in entity matching, offering valuable functionality in data management tasks.

Key features include data cleansing and deduplication, ensuring better data integrity and accuracy.

Extraction, transformation, and validation capabilities make it a versatile tool comparable to Oracle GoldenGate and Oracle Data Integrator.

The system processes data rapidly, accommodating large volumes efficiently.

Master Data Management provides a unified source of truth, enhancing data governance and company operations.

CONS

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

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

Integration with data warehousing solutions such as Azure and CWS Office, including tools like Azure Synapse and SQL data warehousing, would be beneficial.

While validation is fast, the accuracy of validation needs improvement as smaller products offer better accuracy compared to Oracle Data Quality.

An increase in compliance and regulations to cover all industries is needed due to demand from multiple verticals for data quality enhancement.

Oracle Enterprise Data Quality (EDQ) Pros review quotes

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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it_user1601142

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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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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Oracle Enterprise Data Quality (EDQ) Cons review quotes

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.

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it_user1601142

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.

Find out what your peers are saying about Oracle, Informatica, Precisely and others in Data Quality. Updated: December 2025.

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879,259 professionals have used our research since 2012.

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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