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Microsoft Corporation

Microsoft Data Quality Services

Composite Score

8.6 /10

CX Score

9.0 /10

37 Reviews Write a Review

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.

+94 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 Monitoring and Administration

Data Source Connectivity

Data Cleansing

Data Profiling

Data Matching

Reporting Components

Record Deduplication

Record Management

Dashboard

Data Enrichment

Geocoding

Vendor Capability Ratings

Average 83

Quality of Features

Business Value Created

Ease of Data Integration

Product Strategy and Rate of Improvement

Ease of Customization

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

Jessica A.

Role: Sales Marketing
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Apr 2024

Data Quality and Easy Platform to Use.

Likeliness to Recommend

9 /10

What differentiates Microsoft Data Quality Services from other similar products?

The data profiling and the multiple project data integration using Microsoft Data Quality Services is excellent and very secure Cloud data storage tool and easy data access.

What is your favorite aspect of this product?

The simplicity on the first configuration and the ability to manage different project data is helpful through this solution and the implementation was easy.

What do you dislike most about this product?

Nothing for me to dislike from this platform because from the training to the services delivery this Microsoft platform is amazing and helpful technical support.

What recommendations would you give to someone considering this product?

Microsoft Data Quality Services is an effective big data analytics creation in real time and the migration of various business data across other third party platforms is quick and very secure.

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Aman M.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

Best product

Likeliness to Recommend

9 /10

What differentiates Microsoft Data Quality Services from other similar products?

Microsoft Data Quality Services (DQS) stands out for its tight integration with Microsoft's ecosystem, especially SQL Server, making it convenient for organizations already using Microsoft products.

What is your favorite aspect of this product?

One standout feature of Microsoft Data Quality Services (DQS) is its seamless integration with SQL Server, which makes data management tasks more efficient for users already familiar with Microsoft's ecosystem.

What do you dislike most about this product?

One area where Microsoft Data Quality Services (DQS) could improve is in its support for a wider range of data types and formats.

What recommendations would you give to someone considering this product?

If you're considering Microsoft Data Quality Services (DQS), ensure it integrates well with your existing Microsoft setup and supports your data types. Check its scalability and available training/support. Conduct a trial to assess its suitability for your needs before committing.

Pros

Helps Innovate
Performance Enhancing
Enables Productivity
Trustworthy

Martha D.

Role: Information Technology
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Mar 2024

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

How We Deliver

Events

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

+94 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 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 Source Connectivity Includes abiity to connect to a wide selection of data source types and systems.

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

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

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

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.

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.

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.

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

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.

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.

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

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 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.

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

Jessica A.

Data Quality and Easy Platform to Use.

Likeliness to Recommend

Pros

Aman M.

Best product

Likeliness to Recommend

Pros

Martha D.

Likeliness to Recommend

Pros

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1
Since last award

1
Since last award

1
Since last award

Feature Ratings

Data Monitoring and Administration

Data Source Connectivity

Data Cleansing

Data Profiling

Data Matching

Reporting Components

Record Deduplication

Record Management

Dashboard

Data Enrichment

Geocoding

Vendor Capability Ratings

Quality of Features

Business Value Created

Ease of Data Integration

Product Strategy and Rate of Improvement

Ease of Customization

Ease of IT Administration

Ease of Implementation

Availability and Quality of Training

Vendor Support

Usability and Intuitiveness

Breadth of Features