Microsoft Data Quality Services vs Oracle Enterprise Data Quality (EDQ) comparison

Microsoft and Oracle are both solutions in the Data Quality category. Microsoft is ranked #15 with an average rating of 7.0, while Oracle is ranked #16. Microsoft holds a 1.7% mindshare in DQ, compared to Oracle’s 2.8% mindshare. Additionally, 100% of Microsoft users are willing to recommend the solution, compared to 88% of Oracle users who would recommend it.

Microsoft Data Quality Serv...

Read 2 Microsoft Data Quality Services reviews

328 Views
321 Comparison Views

100% willing to recommend

Oracle Enterprise Data Qual...

Read 8 Oracle Enterprise Data Quality (EDQ) reviews

543 Views
538 Comparison Views

88% willing to recommend

Microsoft Data Quality Serv...

Oracle Enterprise Data Qual...

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Executive SummaryUpdated on Dec 11, 2025

Oracle Enterprise Data Quality and Microsoft Data Quality Services are competitors in the data quality management market. Oracle is preferred for its advanced features and flexibility, while Microsoft appeals with seamless integration and easy deployment.

Features: Oracle Enterprise Data Quality offers powerful data profiling and cleansing, exceptional flexibility, and comprehensive control over data management processes. Microsoft Data Quality Services integrates seamlessly with other Microsoft products, provides efficient rule management, and offers user-friendly interfaces.

Ease of Deployment and Customer Service: Microsoft Data Quality Services offers easy deployment primarily because of its straightforward integration with other Microsoft products, which is an advantage for organizations using Microsoft solutions. Oracle Enterprise Data Quality may pose deployment complexities; however, it is often supported by a responsive customer service team providing strong support throughout the integration process.

Pricing and ROI: Oracle Enterprise Data Quality involves higher initial costs but is valued for long-term benefits due to its advanced features. Microsoft Data Quality Services is competitively priced, especially appealing for organizations already utilizing Microsoft infrastructure, providing an attractive return on investment for cost-sensitive environments.

To learn more, read our detailed Microsoft Data Quality Services vs. Oracle Enterprise Data Quality (EDQ) Report (Updated: December 2025).

Buyer's Guide

Microsoft Data Quality Services vs. Oracle Enterprise Data Quality (EDQ)

December 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Microsoft Data Quality Serv...

Ranking in Data Quality

15th

Average Rating

7.6

Reviews Sentiment

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Enterprise Data Qual...

Ranking in Data Quality

16th

Average Rating

8.4

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Quality category, the mindshare of Microsoft Data Quality Services is 1.7%, up from 0.9% compared to the previous year. The mindshare of Oracle Enterprise Data Quality (EDQ) is 2.8%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Microsoft Data Quality Services	1.7%
Oracle Enterprise Data Quality (EDQ)	2.8%
Other	95.5%

Data Quality

Featured Reviews

Satyam Saxena

Technical Lead at a computer software company with 5,001-10,000 employees

Automation in data management improves with built-in error rejection but technical support needs enhancement

Multiple areas in Microsoft Data Quality Services could be improved, such as its ability to perform changes automatically, as it currently identifies but does not correct data issues. Regular expression processing is complicated and slow. Technical support from Microsoft is poor, as they do not provide adequate assistance with issues encountered in integration or forming automation. Sometimes solutions to problems take several weeks due to a lack of support, relying instead on personal networks and experience.

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Venkatraman Bhat

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

Fast, has good extraction, validation, and transformation features, and provides good support

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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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"This solution is particularly useful for data enrichment."

"The primary advantage of Microsoft Data Quality Services is its capability to automate certain tasks, which are otherwise achieved through SQL queries."

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

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

"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."

Cons

"I would rate my experience with the initial setup a six out of ten, with one being very easy and ten being extremely challenging. So, there is room for improvement in the setup process."

"Technical support from Microsoft is poor, as they do not provide adequate assistance with issues encountered in integration or forming automation."

"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."

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

"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 and Cost Advice

"The pricing is in the midrange. It's not cheap, but it depends on the licenses you require."

"The vendor needs to revisit their pricing strategy."

"The price of this solution is comparable to other similar solutions."

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881,082 professionals have used our research since 2012.

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Midsize Enterprise	2
Large Enterprise	7

Questions from the Community

What is your experience regarding pricing and costs for Microsoft Data Quality Services?

Microsoft Data Quality Services comes as part of SQL Server without additional costs, making it a competitive solution.

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What needs improvement with Microsoft Data Quality Services?

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What is your primary use case for Microsoft Data Quality Services?

I use Microsoft Data Quality Services ( /products/microsoft-data-quality-services-reviews ) to handle data inconsistencies, such as missing or improperly formatted data. The tool serves purposes li...

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Comparisons

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Compared 55% of the time

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Compared 45% of the time

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Compared 26% of the time

Trillium Quality vs Oracle Enterprise Data Quality (EDQ)

Compared 16% of the time

SAP Information Steward vs Oracle Enterprise Data Quality (EDQ)

Compared 11% of the time

SAP Data Services vs Oracle Enterprise Data Quality (EDQ)

Compared 9% of the time

IBM Infosphere Information Analyzer vs Oracle Enterprise Data Quality (EDQ)

Compared 8% of the time

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Product Reports

Buyer's Guide

Data Quality

January 2026

Download Microsoft Data Quality Services product report

Buyer's Guide

Data Quality

January 2026

Oracle Enterprise Data Quality (EDQ) report

Download Oracle Enterprise Data Quality (EDQ) product report

Also Known As

MS Data Quality Services

Datanomic

Overview

SQL Server Data Quality Services (DQS) is a knowledge-driven data quality product. DQS enables you to build a knowledge base and use it to perform a variety of critical data quality tasks, including correction, enrichment, standardization, and de-duplication of your data.

Microsoft

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

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

Sample Customers

Information Not Available

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,

Buyer's Guide

Microsoft Data Quality Services vs. Oracle Enterprise Data Quality (EDQ)

December 2025

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