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Microsoft Corporation

Microsoft Data Quality Services

Composite Score

8.5 /10

CX Score

8.9 /10

33 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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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.

91 Likeliness to Recommend

1
Since last award

96 Plan to Renew

1
Since last award

87 Satisfaction of Cost Relative to Value

2
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.

+93 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

7% Neutral

93% Positive

Pros

Respectful
Performance Enhancing
Unique Features
Security Protects

Feature Ratings

Average 81

Data Monitoring and Administration

Data Cleansing

Data Source Connectivity

Record Deduplication

Record Management

Reporting Components

Data Matching

Data Profiling

Dashboard

Data Enrichment

Geocoding

Vendor Capability Ratings

Average 83

Business Value Created

Quality of Features

Ease of Customization

Product Strategy and Rate of Improvement

Ease of Data Integration

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

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

Adebomi A.

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

Validated Review

Verified Reviewer

Submitted May 2025

Solid for SQL Server Users, Lacks Modern Features.

Likeliness to Recommend

7 /10

What differentiates Microsoft Data Quality Services from other similar products?

What sets Microsoft Data Quality Services (DQS) apart is its tight integration with SQL Server and the Microsoft ecosystem. If your organization already relies heavily on SQL Server, DQS can fit seamlessly into your workflow without requiring a separate setup or complex integrations. It also offers basic data cleansing, matching, and profiling with a familiar interface for SQL users, which might be a huge advantage for teams already comfortable with Microsoft products. However, it lacks the advanced features, flexibility, and cloud-native capabilities that other tools might offer.

What is your favorite aspect of this product?

My favorite aspect of Microsoft Data Quality Services is its integration with SQL Server. If you’re already working within the Microsoft ecosystem, it’s relatively easy to implement and manage without needing to introduce another platform. It streamlines the data quality processes directly within the SQL Server environment, which is a huge plus for teams looking for a straightforward, cost-effective solution within their existing infrastructure.

What do you dislike most about this product?

Microsoft Data Quality Services has limited functionality and outdated interface. While it gets the job done for basic data cleansing and profiling, it lacks the advanced features and modern user experience that many newer data quality tools offer. The setup and customization can also be more cumbersome, especially when dealing with complex datasets or integrating with non-Microsoft systems.

What recommendations would you give to someone considering this product?

Microsoft Data Quality Services is best suited for organizations already embedded within the Microsoft ecosystem, especially those using SQL Server. It's a good fit for basic data quality tasks and can be cost-effective since it doesn’t require additional licensing. However, if you need more advanced features or plan to work with diverse data sources, you might want to explore other tools that offer better integration, flexibility, and modern interfaces. Start small and evaluate its capabilities before scaling.

Pros

Efficient Service
Effective Service
Caring
Saves Time

Cons

Inhibits Innovation
Slower Product Innovation

PHILIP O.

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

Validated Review

Verified Reviewer

Submitted Feb 2025

it is a genuine product

Likeliness to Recommend

8 /10

What differentiates Microsoft Data Quality Services from other similar products?

it works well with commonly used applications

What is your favorite aspect of this product?

interface and relaibility

What do you dislike most about this product?

slowness to interact

What recommendations would you give to someone considering this product?

This product is trusted and has a define path

Pros

Helps Innovate
Reliable
Unique Features
Inspires Innovation

Microsoft Data Quality Services

What is Microsoft Data Quality Services?

Company Details

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Awards & Recognition

Microsoft Data Quality Services Ratings

91 Likeliness to Recommend

1 Since last award

96 Plan to Renew

1 Since last award

87 Satisfaction of Cost Relative to Value

2 Since last award

Emotional Footprint Overview

+93 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 Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

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

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.

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

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

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

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

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

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

Riya D.

Has solid foundation for data cleansing

Likeliness to Recommend

Pros

Adebomi A.

Solid for SQL Server Users, Lacks Modern Features.

Likeliness to Recommend

Pros

Cons

PHILIP O.

it is a genuine product

Likeliness to Recommend

Pros

Most Popular Microsoft Data Quality Services Comparisons

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Feature Ratings

Data Monitoring and Administration

Data Cleansing

Data Source Connectivity

Record Deduplication

Record Management

Reporting Components

Data Matching

Data Profiling

Dashboard

Data Enrichment

Geocoding

Vendor Capability Ratings

Business Value Created

Quality of Features

Ease of Customization

Product Strategy and Rate of Improvement

Ease of Data Integration

Ease of IT Administration

Ease of Implementation

Availability and Quality of Training

Vendor Support

Usability and Intuitiveness

Breadth of Features