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Microsoft Corporation

Microsoft Data Quality Services

Composite Score

8.5 /10

CX Score

8.9 /10

38 Reviews Write a Review

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What is Microsoft Data Quality Services?

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. DQS enables you to perform data cleansing by using cloud-based reference data services provided by reference data providers. DQS also provides you with profiling that is integrated into its data-quality tasks, enabling you to analyze the integrity of your data.

Company Details

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Awards & Recognition

Microsoft Data Quality Services won the following awards in the Data Quality category

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2025 Emotional Footprint Champion

Latest Award, 2025

Product Impact
Conflict Resolution

Latest Award, 2025

4 Top Rated Capabilities

1 Top Rated Features

2025

Microsoft Data Quality Services Ratings

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

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.

90 Likeliness to Recommend

1
Since last award

97 Plan to Renew

1
Since last award

88 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.

+92 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 Microsoft Data Quality Services?

0% Negative

6% Neutral

94% Positive

Pros

Respectful
Performance Enhancing
Security Protects
Reliable

Feature Ratings

Average 82

Data Source Connectivity

Data Monitoring and Administration

Data Profiling

Data Cleansing

Data Matching

Record Management

Reporting Components

Record Deduplication

Dashboard

Geocoding

Data Enrichment

Vendor Capability Ratings

Average 83

Business Value Created

Quality of Features

Ease of Data Integration

Ease of Customization

Product Strategy and Rate of Improvement

Ease of IT Administration

Ease of Implementation

Availability and Quality of Training

Vendor Support

Usability and Intuitiveness

Breadth of Features

Microsoft Data Quality Services Reviews

Ndianaobong B.

Role: Consultant
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jun 2025

Solid Data Cleaning Tool

Likeliness to Recommend

10 /10

What differentiates Microsoft Data Quality Services from other similar products?

DQS builds a reusable knowledge base from your data and third-party reference sources, enabling automated correction, standardization, deduplication, and enrichment

What is your favorite aspect of this product?

Its knowledge-base-driven automation for cleansing, standardizing, and enriching data—without writing complex SQL—is a major productivity booster for data-focused teams.

What do you dislike most about this product?

The outdated, clunky GUI—which hinders usability and makes navigation and operation feel less intuitive for today’s data practitioners.

What recommendations would you give to someone considering this product?

Before implementing DQS, establish a robust data governance framework—complete with clear quality standards, regular profiling and cleansing workflows, continuous monitoring, and defined roles—for maximum impact and usability.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Manish S.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jun 2025

Best tool for Duplicate Removal and data cleaning

Likeliness to Recommend

8 /10

What differentiates Microsoft Data Quality Services from other similar products?

The best thing about MS DQS is that it has a policy wizard that helps with fuzzy logics with deduplication of data. It has built-in integration with SSIS, allowing users to streamline workflows which I believe makes it outstanding.

What is your favorite aspect of this product?

What I like most about using MS DQS is its smooth integration with SQL Server. I also like its performance for data and its usefulness in deleting duplicates in data easily.

What do you dislike most about this product?

I do not like the UI much as it feels very outdated, and it has less support for unstructured data, which requires workarounds.

What recommendations would you give to someone considering this product?

Well, this tool must have tool for data analyst although if your work is on unstructured data mostly then it may not be an appropriate fit.

Pros

Performance Enhancing
Unique Features
Efficient Service
Inspires Innovation

Riya D.

Role: Operations
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted May 2025

Has solid foundation for data cleansing

Likeliness to Recommend

10 /10

What differentiates Microsoft Data Quality Services from other similar products?

Its knowledge base approach helps us to create reusable rules for data cleansing and also it saves times.

What is your favorite aspect of this product?

My favorite aspect of this product is the ability to create and reuse knowledge bases.

What do you dislike most about this product?

There is nothing I dislike about this product.

What recommendations would you give to someone considering this product?

If you use Microsoft tools, this is a good option. Just be ready to spend time setting up rules with your team.

Pros

Reliable
Performance Enhancing
Enables Productivity
Trustworthy

Microsoft Data Quality Services

What is Microsoft Data Quality Services?

Company Details

Need Assistance?

Awards & Recognition

2025 Emotional Footprint Champion

Microsoft Data Quality Services Ratings

90 Likeliness to Recommend

1 Since last award

97 Plan to Renew

1 Since last award

88 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+92 Net Emotional Footprint

How much do users love Microsoft Data Quality Services?

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.

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

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

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

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.

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

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.

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

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

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

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.

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

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.

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.

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.

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.

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.

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.

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.

Microsoft Data Quality Services Reviews

Ndianaobong B.

Solid Data Cleaning Tool

Likeliness to Recommend

Pros

Manish S.

Best tool for Duplicate Removal and data cleaning

Likeliness to Recommend

Pros

Riya D.

Has solid foundation for data cleansing

Likeliness to Recommend

Pros

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Feature Ratings

Data Source Connectivity

Data Monitoring and Administration

Data Profiling

Data Cleansing

Data Matching

Record Management

Reporting Components

Record Deduplication

Dashboard

Geocoding

Data Enrichment

Vendor Capability Ratings

Business Value Created

Quality of Features

Ease of Data Integration

Ease of Customization

Product Strategy and Rate of Improvement

Ease of IT Administration

Ease of Implementation

Availability and Quality of Training

Vendor Support

Usability and Intuitiveness

Breadth of Features