Microsoft Data Quality Services
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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Real user data aggregated to summarize the product performance and customer experience.
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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
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?
Pros
- Helps Innovate
- Reliable
- Respectful
- Client Friendly Policies
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
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
Microsoft Data Quality Services Reviews
Aman G.
- Role: Information Technology
- Industry: Finance
- Involvement: End User of Application
Submitted Dec 2024
Great Product for Data Quality
Likeliness to Recommend
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
Submitted Nov 2024
Services is a solid, SQL Server integrated tool.
Likeliness to Recommend
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
Submitted Oct 2024
Easy to use
Likeliness to Recommend
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
