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Oracle Enterprise Data Quality (EDQ) Reviews

Vendor: Oracle
4.2 out of 5
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What is Oracle Enterprise Data Quality (EDQ)?

Oracle Enterprise Data Quality is a comprehensive tool for improving data integrity through address verification, profiling, cleansing, and synchronization.

Get the Data Quality Buyer's Guide and find out what your peers are saying about Oracle Enterprise Data Quality (EDQ), Informatica Intelligent Data Management Cloud (IDMC), SAP Data Services and more!
Oracle Enterprise Data Quality (EDQ) is the #16 ranked solution in top Data Quality solutions. PeerSpot users give Oracle Enterprise Data Quality (EDQ) an average rating of 8.4 out of 10. Oracle Enterprise Data Quality (EDQ) is most commonly compared to Informatica Intelligent Data Management Cloud (IDMC): Oracle Enterprise Data Quality (EDQ) vs Informatica Intelligent Data Management Cloud (IDMC).
Buyer's Guide
Data Quality
December 2025
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Oracle Enterprise Data Quality (EDQ) mindshare

As of December 2025, the mindshare of Oracle Enterprise Data Quality (EDQ) in the Data Quality category stands at 2.3%, up from 1.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Quality Market Share Distribution
ProductMarket Share (%)
Oracle Enterprise Data Quality (EDQ)2.3%
Informatica Intelligent Data Management Cloud (IDMC)11.7%
Qlik Talend Cloud6.3%
Other79.7%
Data Quality
 
 
Key learnings from peers
Last updated Dec 11, 2025

Valuable Features

Address verification, integrated data profiling, auditing, and data cleansing stand out. Data cleansing, profiling, matching, and a customizable platform meet diverse needs. Synchronization of contact and account data is crucial for clients. EDQ integrates well with third-party applications and handles any data type. Entity matching allows unified record creation. Features like extraction, transformation, validation, and Master Data Management ensure efficiency and rapid processing, making it ideal for managing large volumes swiftly.
  • "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."
  • "I have found the most valuable features to be data cleansing and deduplication."
  • "With Oracle Data Quality, the most valuable feature is entity matching."

Room for Improvement

Oracle Enterprise Data Quality needs better online documentation with examples, improved integration performance, and easier installation. Mobile support could enhance usability. Simplifying the interface for non-technical users is essential. Speeding up deployment time and revisiting pricing strategy is important. Intuitive data integration and reduced coding requirements are necessary. Cloud compatibility and integration with data warehousing tools like Azure Synapse would be advantageous. Enhancing validation accuracy and expanding compliance across industries is also crucial.
  • "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."
  • "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."
  • "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."

Pricing

  • "The price of this solution is comparable to other similar solutions."
  • "The vendor needs to revisit their pricing strategy."

Popular Use Cases

Oracle Enterprise Data Quality (EDQ) is utilized by system integrators and university fundraising for establishing a single source of truth across multiple systems. It helps manage donor information in real-time and supports data quality management during the ETVL process. EDQ enhances data governance, quality assurance, and cleansing activities for enterprise data, encompassing both data warehouses and Data Lakehouses. It integrates data from multiple sources and presents it through an analytics layer.

Service and Support

Customers report Oracle Enterprise Data Quality's customer service as satisfactory and responsive, particularly from the UK product team. Technical support is highly praised, described as excellent and very good. Users appreciate the promptness, especially with same-day resolution tickets and effective handling of critical issues via web conferencing. While initial setup presented challenges, vendor assistance was deemed satisfactory. Overall satisfaction is noted for Oracle's responsiveness in managing various support scenarios.

Deployment

Users found Oracle Enterprise Data Quality's initial setup relatively easy, although some encountered challenges with integrating systems and configuring the Global Knowledge Repository. They noted that while the setup is not inherently complex, expertise is necessary due to its customizable nature. Some needed to adjust at the application and database level for better performance. Deployment could vary in time, depending on specific configurations and needs, with improvements suggested in simplifying configuration processes.

Scalability

Oracle Enterprise Data Quality (EDQ) is highly scalable, especially with adequate database space, server memory, and CPU resources. It successfully supports enterprise-level clients, with some medium-sized companies benefiting as well. Scalability depends on existing hardware, with no inherent limits apart from physical infrastructure. A cloud-based solution could enhance scalability. Oracle offers tools that consistently deliver high scalability, reinforcing EDQ's strengths in meeting extensive demands efficiently.

Stability

Oracle Enterprise Data Quality (EDQ) exhibits stability with few challenges. Some experienced system crashes with large data profiling, while others found improved stability recently due to load balancing and high availability features. Once configured, it remains stable, though network issues may not be immediately apparent. Previous versions had issues, but the current application on Apache is stable. Users note that stability is generally consistent and reliable.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
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Learn more about Oracle Enterprise Data Quality (EDQ)

Oracle Enterprise Data Quality empowers organizations to manage their data by ensuring integrity and consistency. It provides efficient address verification, data profiling, cleansing, and synchronization. With capabilities like entity matching, deduplication, extraction, transformation, and validation, it supports diverse data types to enhance data quality processes. While it is seamless in data matching and third-party app integration, the platform benefits organizations by supporting Master Data Management for consolidated data protection. However, improvements in documentation, ERP and warehouse integration, cloud and mobile support, and reduced deployment time could enhance the user experience. Pricing strategy and installation challenges, especially involving coding, need attention for broader accessibility.

What are the main features of Oracle Enterprise Data Quality?
  • Address Verification: Ensures accuracy in address data.
  • Data Profiling: Analyzes data characteristics for better insights.
  • Cleansing: Refines data by removing inaccuracies.
  • Data Synchronization: Aligns data across platforms effortlessly.
  • Entity Matching: Identifies and matches related entities.
  • Deduplication: Eliminates redundant data entries efficiently.
  • Transformation and Validation: Converts data to required formats, verifying its accuracy.
What benefits and ROI can users expect from Oracle Enterprise Data Quality?
  • Data Integrity: Maintains consistent data accuracy.
  • Reduced Redundancy: Minimizes duplicate data across systems.
  • Enhanced Data Governance: Strengthens data management strategies.
  • Improved Accuracy: Boosts the precision of data validation.
  • Efficient Data Processing: Accelerates data handling routines.

Industries like education find Oracle Enterprise Data Quality invaluable for systems such as university fundraising, where tracking donor contributions accurately is crucial. Used in data governance, it manages quality during ETVL processes ensuring high precision for data warehouses and Data Lakehouses.

Oracle Enterprise Data Quality (EDQ) was previously known as Datanomic.

Oracle Enterprise Data Quality (EDQ) 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,

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Oracle Enterprise Data Quality (EDQ) Reviews Summary
Author infoRatingReview Summary
Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited4.5No summary available
Integration Specialist at a government with 1,001-5,000 employees3.5No summary available
Project Manager/Application Architect at a insurance company with 1,001-5,000 employees4.0No summary available
Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited4.5No summary available
Enterprise Data Quality Architect at a recruiting/HR firm with 501-1,000 employees5.0No summary available
Data Quality Software Development Manager at Yapı Kredi Bank4.5No summary available
Industry Analyst at a energy/utilities company with 10,001+ employees4.5No summary available
Siebel Consultant at a government with 1,001-5,000 employees3.0No summary available