Write a review temporarily disabled. Our system flagged this request as potentially automated and has disabled form submission for security reasons. If you believe this is a mistake, please contact us. We’ll be happy to help resolve the issue.

Microsoft Corporation

Microsoft Data Quality Services

Composite Score

8.5 /10

CX Score

8.9 /10

38 Reviews Write a Review

Claim Software

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

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

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

Filter By

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

{y}

{name}

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

Divneet S.

Role: Information Technology
Industry: Media
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Apr 2024

easy to use/integrate with other Microsoft product

Likeliness to Recommend

8 /10

What differentiates Microsoft Data Quality Services from other similar products?

ease of use

What is your favorite aspect of this product?

integration with other microsoft products

What do you dislike most about this product?

UI for some features

What recommendations would you give to someone considering this product?

get the full microsoft package, it is cheaper that way

Pros

Helps Innovate
Continually Improving Product
Reliable
Trustworthy

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

Narendra Singh S.

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

Validated Review

Verified Reviewer

Submitted Apr 2024

Microsoft Dqs : Consistent, Valuable Data Quality

Likeliness to Recommend

9 /10

What differentiates Microsoft Data Quality Services from other similar products?

There are many key features that set Microsoft DQs apart from others: 1.) Easy integration with SQL data servers, which makes it a natural choice for efficient data management. 2.) It leverages knowledge bases and domains to perform data cleansing. 3.) It provides top-notch data profiling that allows us to analyze data, which helps us make data-driven decisions. 4.) Also, the pricing of Microsoft DQs is very competitive.

What is your favorite aspect of this product?

My few key favorite features of Microsoft DQs are: 1.) Seamless integration process of organization data flow with SQL data servers 2.) It's easy to find out any anomalies and inconsistent or duplicating data via features like data cleansing and correcting. 3.) It helps to gain valuable information about data and identify the issue with data management via data profiling.

What do you dislike most about this product?

As a new one to begin with Microsoft dqs, I find the initial integration and setup of Microsoft dqs a little complex, and having prior knowledge about it makes the process a little easier. You have to be consistent about putting effort into maintaining data quality management. Pricing is good, but there is always a scope for reducing pricing based on need.

What recommendations would you give to someone considering this product?

I would say to gain prior knowledge about integration and setup processes so it will be easy to begin with this product. The customer support comes from their side, and they are the best in DQs. Pricing depends on your needs, and that's good.

Pros

Reliable
Performance Enhancing
Unique Features
Effective Service

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

Divneet S.

easy to use/integrate with other Microsoft product

Likeliness to Recommend

Pros

Aman M.

Best product

Likeliness to Recommend

Pros

Narendra Singh S.

Microsoft Dqs : Consistent, Valuable Data Quality

Likeliness to Recommend

Pros

Most Popular Microsoft Data Quality Services Comparisons

Talend Data Fabric

Oracle Enterprise Data Quality

SAS Viya

Melissa Data Quality Suite

PiLog Data Quality and Governance Suite

IBM InfoSphere QualityStage

1
Since last award

1
Since last award

1
Since last award

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