Microsoft Corporation

Microsoft Data Quality Services

Composite Score

8.2 /10

CX Score

8.5 /10

20 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.

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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.

92 Likeliness to Recommend

93 Plan to Renew

1
Since last award

84 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

Helps Innovate
Reliable
Respectful
Client Friendly Policies

Feature Ratings

Average 83

Data Monitoring and Administration

Usability

Data Enrichment

Record Deduplication

Data Cleansing

Data Source Connectivity

Data Matching

Record Management

Data Profiling

Data Integrity

Geocoding

Vendor Capability Ratings

Average 85

Business Value Created

Ease of Data Integration

Quality of Features

Product Strategy and Rate of Improvement

Availability and Quality of Training

Ease of IT Administration

Ease of Customization

Vendor Support

Breadth of Features

Ease of Implementation

Usability and Intuitiveness

Microsoft Data Quality Services Reviews

Aman G.

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

Validated Review

Verified Reviewer

Submitted Dec 2024

Great Product for Data Quality

Likeliness to Recommend

10 /10

What differentiates Microsoft Data Quality Services from other similar products?

Ease of use for non technical background

What is your favorite aspect of this product?

Data updating using static file

What do you dislike most about this product?

Deduplication Mangement

What recommendations would you give to someone considering this product?

Better way to deal with deduplicate records

Pros

Caring
Fair
Client's Interest First
Generous Negotitation

Kuntal B.

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

Validated Review

Verified Reviewer

Submitted Nov 2024

Services is a solid, SQL Server integrated tool.

Likeliness to Recommend

10 /10

What differentiates Microsoft Data Quality Services from other similar products?

DQS is natively integrated with SQL Server, making it an ideal choice for Microsoft-centric environments. It integrates seamlessly with SQL Server Integration Services (SSIS) and Master Data Services (MDS), enabling users to create a more unified data management ecosystem.

What is your favorite aspect of this product?

DQS uses a "knowledge-based" approach, where users can build and maintain a repository of data quality rules, validation rules, and data domain knowledge.

What do you dislike most about this product?

DQS can struggle with large datasets, often resulting in slow performance and high memory consumption. As datasets grow, the system may experience delays.

What recommendations would you give to someone considering this product?

updates focusing on performance, flexibility, cloud compatibility, and modern usability would go a long way in helping Microsoft Data Quality Services become more competitive and effective in a rapidly evolving data management landscape.

Pros

Performance Enhancing
Transparent
Security Protects
Continually Improving Product

Shreya P.

Role: Student Academic
Industry: Engineering
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Oct 2024

Easy to use

Likeliness to Recommend

9 /10

What differentiates Microsoft Data Quality Services from other similar products?

One notable feature of Microsoft Data Quality Services (DQS) is its extensive interaction with the SQL Server environment, which allows businesses to carry out data cleansing, matching, and profiling inside the well-known Microsoft ecosystem.

What is your favorite aspect of this product?

The knowledge-driven approach to data quality management that Microsoft Data Quality Services offers is my favorite feature.

What do you dislike most about this product?

Its somewhat limited user interface, which can feel outdated and unintuitive for modern data professionals

What recommendations would you give to someone considering this product?

I’d recommend having a solid understanding of SQL Server

Pros

Helps Innovate
Continually Improving Product
Reliable
Trustworthy

Microsoft Data Quality Services

What is Microsoft Data Quality Services?

Company Details

Need Assistance?

Microsoft Data Quality Services Ratings

92 Likeliness to Recommend

93 Plan to Renew

1 Since last award

84 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.

Usability Includes business-oriented interface made available to business and technical users in a manner relevant to their role.

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

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.

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.

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.

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

Data Integrity Includes data accuracy, data maintenance, and data verification and validation.

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.

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

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.

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.

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.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently 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.

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.

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.

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.

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.

Microsoft Data Quality Services Reviews

Aman G.

Great Product for Data Quality

Likeliness to Recommend

Pros

Kuntal B.

Services is a solid, SQL Server integrated tool.

Likeliness to Recommend

Pros

Shreya P.

Easy to use

Likeliness to Recommend

Pros

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1
Since last award

1
Since last award

Feature Ratings

Data Monitoring and Administration

Usability

Data Enrichment

Record Deduplication

Data Cleansing

Data Source Connectivity

Data Matching

Record Management

Data Profiling

Data Integrity

Geocoding

Vendor Capability Ratings

Business Value Created

Ease of Data Integration

Quality of Features

Product Strategy and Rate of Improvement

Availability and Quality of Training

Ease of IT Administration

Ease of Customization

Vendor Support

Breadth of Features

Ease of Implementation

Usability and Intuitiveness