Try our new research platform with insights from 80,000+ expert users

Microsoft Data Quality Services vs Talend Data Quality comparison

Microsoft and Talend are both solutions in the Data Quality category. Microsoft is ranked #13 with an average rating of 8.0, while Talend is ranked #6 with an average rating of 8.0. Microsoft holds a 1.2% mindshare in DQ, compared to Talend’s 4.2% mindshare. Additionally, 100% of Microsoft users are willing to recommend the solution, compared to 89% of Talend users who would recommend it.
Microsoft Data Quality Serv...
Read 2 Microsoft Data Quality Services reviews
  • 147 Views
  • 63 Comparison Views
100% willing to recommend
Talend Data Quality
Read 20 Talend Data Quality reviews
  • 685 Views
  • 317 Comparison Views
89% willing to recommend
 

Comparison Buyer's Guide

Download the report
Executive Summary
We performed a comparison between Microsoft Data Quality Services and Talend Data Quality based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, SAP, Syniti and others in Data Quality.

DOWNLOAD THE COMPLETE REPORT
To learn more, read our detailed Data Quality Report (Updated: April 2025).
Buyer's Guide
Data Quality
April 2025
Download the complete report
Helped 849,686 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Microsoft Data Quality Serv...
Ranking in Data Quality
13th
Average Rating
7.6
Reviews Sentiment
4.4
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Talend Data Quality
Ranking in Data Quality
6th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
20
Ranking in other categories
Data Scrubbing Software (2nd)
 

Mindshare comparison

As of May 2025, in the Data Quality category, the mindshare of Microsoft Data Quality Services is 1.2%, up from 0.6% compared to the previous year. The mindshare of Talend Data Quality is 4.2%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Quality
 

Featured Reviews

Satyam Saxena - PeerSpot reviewer
Automation in data management improves with built-in error rejection but technical support needs enhancement
Multiple areas in Microsoft Data Quality Services could be improved, such as its ability to perform changes automatically, as it currently identifies but does not correct data issues. Regular expression processing is complicated and slow. Technical support from Microsoft is poor, as they do not provide adequate assistance with issues encountered in integration or forming automation. Sometimes solutions to problems take several weeks due to a lack of support, relying instead on personal networks and experience.
Read full review
WesamHabboub - PeerSpot reviewer
Stands out for its user-friendly interface, robust community support, competitive pricing and strategic approach to improving data accuracy
Its greatest asset lies in its user-friendly interface, specifically within the Talend Open Studio, known for its ease of use and familiarity among users. The robust community support proves invaluable when encountering challenges, providing a reliable resource for issue resolution. Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users. The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work. This functionality enables a streamlined process for identifying, assigning, and subsequently addressing data quality issues.
Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The primary advantage of Microsoft Data Quality Services is its capability to automate certain tasks, which are otherwise achieved through SQL queries."
"This solution is particularly useful for data enrichment."
"The file fetch process is impeccable."
"We are able to get emails from URLs very easily using this function when others fail."
"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."
"​This product speeds up the unit testing and QA for specific test scenarios. As a result, the development output quality can be evaluated and adjusted.​"
"I really like the fact that there are no out-of-the-box solutions regarding the development of jobs. Other vendors may have modules which cleanse your addresses. In Talend, you have the freedom to completely develop the process yourself. This can be tricky, but it also makes it fun."
"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."
"I like idea of storing the results of Data Quality jobs in a DB and having the ability to run reports in the DB to show a dashboard of quality metrics."
"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."
More Talend Data Quality pros
 

Cons

"I would rate my experience with the initial setup a six out of ten, with one being very easy and ten being extremely challenging. So, there is room for improvement in the setup process."
"Technical support from Microsoft is poor, as they do not provide adequate assistance with issues encountered in integration or forming automation."
"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend. One day, it is fine with a 1000 blank rows, then the next day, it will find one blank cell and it breaks down."
"I would say that some of the support elements need improvement."
"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"The ability to change the code when debugging the JavaScript could be improved."
"You can't join more than two tables for analysis."
"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."
"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions."
More Talend Data Quality cons
 

Pricing and Cost Advice

"The pricing is in the midrange. It's not cheap, but it depends on the licenses you require."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"It's a subscription-based platform, we renew it every year."
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."
report
See which vendors are best for you
Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
See recommendations
849,686 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Financial Services Firm
14%
Computer Software Company
14%
Manufacturing Company
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about Microsoft Data Quality Services?
This solution is particularly useful for data enrichment.
See all answers
What is your experience regarding pricing and costs for Microsoft Data Quality Services?
The pricing is in the midrange. It's not cheap, but it depends on the licenses you require. We are an enterprise partner and have an enterprise agreement, so we may not see it as a separate cost.
See all answers
What needs improvement with Microsoft Data Quality Services?
It's actually typical of Microsoft products. It's not overly easy, but at the same time, it's not like trying to fix a pipe that's burst. You do need to configure a few things to tackle some issues...
See all answers
What do you like most about Talend Data Quality?
The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.
See all answers
What is your experience regarding pricing and costs for Talend Data Quality?
There are many data quality tools available, but some can be expensive. Talend Data Quality stands out because it is often provided for free if you already have Talend Data Integration, which means...
See all answers
What needs improvement with Talend Data Quality?
Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic cons...
See all answers
 

Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs Microsoft Data Quality Services Logo
Informatica Intelligent Data Management Cloud (IDMC) vs Microsoft Data Quality Services
Compared 100% of the time
More Microsoft Data Quality Services Competitors
Ataccama DQ Analyzer vs Talend Data Quality Logo
Ataccama DQ Analyzer vs Talend Data Quality
Compared 38% of the time
Informatica Intelligent Data Management Cloud (IDMC) vs Talend Data Quality Logo
Informatica Intelligent Data Management Cloud (IDMC) vs Talend Data Quality
Compared 30% of the time
Ataccama ONE Platform vs Talend Data Quality Logo
Ataccama ONE Platform vs Talend Data Quality
Compared 20% of the time
Experian Data Quality vs Talend Data Quality Logo
Experian Data Quality vs Talend Data Quality
Compared 12% of the time
More Talend Data Quality Competitors
 

Product Reports

Buyer's Guide
Data Quality
April 2025
Microsoft Data Quality Services reportDownload Microsoft Data Quality Services product report
Buyer's Guide
Talend Data Quality
April 2025
Talend Data Quality reportDownload Talend Data Quality product report
 

Also Known As

MS Data Quality Services
No data available
 

Overview

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.

Microsoft
The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.
Talend
 

Sample Customers

Information Not Available
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Buyer's Guide
Data Quality
April 2025
Download Free Report
Find out what your peers are saying about Informatica, SAP, Syniti and others in Data Quality. Updated: April 2025.
DOWNLOAD NOW
849,686 professionals have used our research since 2012.
See our list of best Data Quality vendors.

We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.