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  1. Home
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  3. Microsoft Data Quality Services
Logo of Microsoft Data Quality Services

Microsoft Data Quality Services

byMicrosoft
in Augmented Data Quality Solutions
4.2

Overview

Product Information on Microsoft Data Quality Services

Updated 13th October 2025

What is Microsoft Data Quality Services?

Microsoft Data Quality Services is a software that offers data quality management capabilities by allowing organizations to discover, cleanse, and match data. The software enables users to build a knowledge base and use it to perform data correction and improvement processes. It supports the identification and removal of duplicate or inconsistent records and helps users standardize data from various sources. The software provides profiling, monitoring, and validation functions to ensure the accuracy and integrity of enterprise information. It addresses business challenges related to poor data quality, such as incomplete or incorrect records, thereby supporting better decision making and operational efficiency.

Microsoft Data Quality Services Pricing

Microsoft Data Quality Services software uses a licensing-based pricing model, typically included as part of the Microsoft SQL Server suite, where access is provided through the purchase of appropriate licenses for SQL Server editions. Pricing varies according to server, core, or cloud subscription models, depending on deployment and usage requirements.

Overall experience with Microsoft Data Quality Services

Teamcenter Developer
<50M USD, IT Services
FAVORABLE

“Enhance Data Consistency and Accuracy using Microsoft DQS and its Features”

5.0
Aug 5, 2025
My Experience with Microsoft Data Quality Services has been vert good one. Its really useful when it comes to doing data cleansing and making the data standardized. The Knowledge base it provides to define domain rules make it really simple to make the data consistent. Also the data matching feature really helps in my day to day tasks like checking for duplicate entries and when I need to merge the data it really saves a lot of time.
Operations Associate
1B - 3B USD, Media
CRITICAL

“Simple Interface And Easy Start Make DQS Suitable For Fundamental Data Tasks”

3.0
Aug 11, 2025
In my experience, DQS is easy to start if you have previously used SQL Server. It is good for basic data cleaning and matching.

About Company

Company Description

Updated 11th August 2023

Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. Microsoft is dedicated to advancing human and organizational achievement. Microsoft Security helps protect people and data against cyberthreats to give peace of mind.

Company Details

Updated 25th March 2024
Company type
Public
Year Founded
1975
Head office location
Redmond, Washington, United States
Number of employees
10000+
Annual Revenue
30B+ USD
Website
https://microsoft.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

User Sentiment About Microsoft Data Quality Services
Reviewer Insights for: Microsoft Data Quality Services
Deciding Factors: Microsoft Data Quality Services Vs. Market Average
Performance of Microsoft Data Quality Services Across Market Features

Microsoft Data Quality Services Likes & Dislikes

Like

I really like its knowledge driven approach I use for data cleansing. Also I am able to create a knowledge base and define domain rule and reference data of my choice to make the data more simple and increase the data quality also I can reuse the same knowledge base in multiple datasets. Also it was really easy for me to integrate it with my existing SQL sever and one more plus point is that it automatically cleans my data also I can take control of the cleaning process.

Like

It works inside SQL Server, there's no extra install needed. It's easy to use for basic cleaning tasks.

Like

What I like most about DQS is its ability to create a reusable knowledge base for data cleansing, once you've defined your rules and domains, you can apply them consistently across datasets. This saves time and ensures cleaner and more reliable data over the long term.

Dislike

Creating knowledge base for the first can be little tricky for someone new to it.

Dislike

For big data or very complex rules it is not as strong as other enterprise tools. The interface is simple but sometimes it feels old and slow.

Dislike

It struggles with NoSQL systems and unstructured formats which can be a dealbreaker for some

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Peer Discussions

Microsoft Data Quality Services Reviews and Ratings

4.2

(75 Ratings)

Rating Distribution

5 Star
43%
4 Star
49%
3 Star
8%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.4

Integration & Deployment

4.4

Service & Support

4.4

Product Capabilities

4.5

Filter Reviews
Sort By:
Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
Reviewer's Job Function
  • Teamcenter Developer
    <50M USD
    IT Services
    Review Source

    Enhance Data Consistency and Accuracy using Microsoft DQS and its Features

    5.0
    Aug 5, 2025
    My Experience with Microsoft Data Quality Services has been vert good one. Its really useful when it comes to doing data cleansing and making the data standardized. The Knowledge base it provides to define domain rules make it really simple to make the data consistent. Also the data matching feature really helps in my day to day tasks like checking for duplicate entries and when I need to merge the data it really saves a lot of time.
  • Manager, Customer Experience - Metrics a
    50M-1B USD
    Banking
    Review Source

    Knowledge Base Feature in DQS Enhances Data Consistency Over Multiple Datasets

    4.0
    Aug 8, 2025
    DQS is a practical tool for cleaning and managing structured data, especially if you're working within SQL Server. It's not the most modern solution, but it's reliable for maintaining data integrity in enterprise environments.
  • Finance Team Leader
    50M-1B USD
    Travel and Hospitality
    Review Source

    Human-In-The-Loop Interface Useful Yet Limited By Rule-Based Approach

    4.0
    Aug 6, 2025
    Overall it has a good data stewardship workflow w/c offers a human in the loop interface
  • Architect
    <50M USD
    Construction
    Review Source

    Filtering Duplicates in Project Data Contrasted by Persistent Microsoft Sync Issues

    4.0
    Jul 15, 2025
    Excellent knowledge base management that works with all our office's Microsoft-based applications.
  • Expert Operations Associate
    50M-1B USD
    Healthcare and Biotech
    Review Source

    Data Quality Management Simplified by Microsoft DQS, With Limitations in Performance Noted

    4.0
    Jul 7, 2025
    Using Microsoft DQS has helped us clean and standardize our data without needing a huge data team. It's not super flashy, but it gets the job done. It's good for a growing startup trying to build solid data foundations.
...
Showing Result 1-5 of 86

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Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

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