Oracle

Oracle Enterprise Data Quality

Composite Score

8.1 /10

CX Score

8.2 /10

87 Reviews Write a Review

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What is Oracle Enterprise Data Quality?

Oracle Enterprise Data Quality provides a comprehensive data quality management environment, used to understand, improve, protect and govern data quality. The software facilitates best practice Master Data Management, Data Governance, Data Integration, Business Intelligence and data migration initiatives, as well as providing integrated data quality in CRM and other applications and cloud services.

Company Details

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Awards & Recognition

Oracle Enterprise Data Quality won the following awards in the Data Quality category

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1 Top Rated Capabilities

3 Top Rated Features

Latest Award, 2026

2 Top Rated Capabilities

2 Top Rated Features

2025

0 Top Rated Capabilities

1 Top Rated Features

2023

0 Top Rated Capabilities

2 Top Rated Features

2022

Oracle Enterprise Data Quality Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Oracle Enterprise Data Quality.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

88 Likeliness to Recommend

1
Since last award

97 Plan to Renew

80 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+87 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Oracle Enterprise Data Quality?

3% Negative

4% Neutral

93% Positive

Pros

Respectful
Trustworthy
Enables Productivity
Friendly Negotiation

Feature Ratings

Average 82

Data Source Connectivity

Record Management

Data Matching

Record Deduplication

Dashboard

Data Enrichment

Data Monitoring and Administration

Data Cleansing

Reporting Components

Data Profiling

Geocoding

Vendor Capability Ratings

Average 81

Ease of Data Integration

Quality of Features

Ease of Customization

Breadth of Features

Product Strategy and Rate of Improvement

Business Value Created

Usability and Intuitiveness

Vendor Support

Availability and Quality of Training

Ease of IT Administration

Ease of Implementation

Oracle Enterprise Data Quality Reviews

Rajesh k.

Role: Operations
Industry: Engineering
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Dec 2024

Easy to use, but a bit pricey.

Likeliness to Recommend

10 /10

What differentiates Oracle Enterprise Data Quality from other similar products?

Easy to use, effective results

What is your favorite aspect of this product?

User interface and documentation

What do you dislike most about this product?

High Pricy

What recommendations would you give to someone considering this product?

Must try it for DQ framework and Data rich company

Pros

Reliable
Enables Productivity
Trustworthy
Efficient Service

Tushar V.

Role: Finance
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jul 2024

Great product!

Likeliness to Recommend

10 /10

What differentiates Oracle Enterprise Data Quality from other similar products?

This provides vast number of features which can be implemented into various scenarios effectively.

What is your favorite aspect of this product?

It has great user interface which makes it easy to use.

What do you dislike most about this product?

It is a bit pricey for new users.

What recommendations would you give to someone considering this product?

This has great potential and should be used.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Aastha S.

Role: Industry Specific Role
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Apr 2026

Powerful but complex tool

Likeliness to Recommend

8 /10

What differentiates Oracle Enterprise Data Quality from other similar products?

It is distinguished by its tight integration within the Oracle environment and excellent data profiling and matching features. The product can work reliably with complex data sets of massive sizes and provides advanced rule-based cleansing that looks more robust than some of the other products out there.

What is your favorite aspect of this product?

The two most useful aspects are data profiling and deduplication capabilities. These allow you to see data problems and handle inconsistencies. Once properly set up, it will greatly enhance data accuracy.

What do you dislike most about this product?

There are several limitations associated with this software that may act as barriers for adoption. The most important of these is the difficult learning curve as well as the rather old-fashioned user interface.

What recommendations would you give to someone considering this product?

It requires preparation time for learning and configuration, and if possible, an individual knowledgeable about Oracle’s tools should be available. It is most suited for organizations that use Oracle applications and have vast data sets compared to small-scale applications.

Pros

Helps Innovate
Continually Improving Product
Inspires Innovation
Reliable

Oracle Enterprise Data Quality

What is Oracle Enterprise Data Quality?

Company Details

Need Assistance?

Awards & Recognition

Oracle Enterprise Data Quality Ratings

88 Likeliness to Recommend

1 Since last award

97 Plan to Renew

80 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+87 Net Emotional Footprint

How much do users love Oracle Enterprise Data Quality?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Source Connectivity Includes abiity to connect to a wide selection of data source types and systems.

Record Management Includes ability for Data stewards to monitoring data quality, taking action to determine the root cause of flagged issues and recommending remediation actions.

Data Matching Includes fuzzy matching, data comparison, and data merging.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources.

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling, such as address standardization and the correction of known invalid values.

Reporting Components Lightweight controls and components that are easily embeddable and reusable. Integration with common apps such as Word, Excel, etc.

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Geocoding Includes geo-referencing, address validation and verification, data mapping, and data append.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Oracle Enterprise Data Quality Reviews

Rajesh k.

Easy to use, but a bit pricey.

Likeliness to Recommend

Pros

Tushar V.

Great product!

Likeliness to Recommend

Pros

Aastha S.

Powerful but complex tool

Likeliness to Recommend

Pros

Most Popular Oracle Enterprise Data Quality Comparisons

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IBM InfoSphere QualityStage

SAP Data Services

1
Since last award

1
Since last award

Feature Ratings

Data Source Connectivity

Record Management

Data Matching

Record Deduplication

Dashboard

Data Enrichment

Data Monitoring and Administration

Data Cleansing

Reporting Components

Data Profiling

Geocoding

Vendor Capability Ratings

Ease of Data Integration

Quality of Features

Ease of Customization

Breadth of Features

Product Strategy and Rate of Improvement

Business Value Created

Usability and Intuitiveness

Vendor Support

Availability and Quality of Training

Ease of IT Administration

Ease of Implementation