Microsoft Data Quality Services vs Qlik Talend Cloud comparison

Microsoft Data Quality Services vs. Qlik Talend Cloud

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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

16th

Average Rating

7.6

Reviews Sentiment

4.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Talend Cloud

Ranking in Data Quality

2nd

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (8th), Data Scrubbing Software (1st), Master Data Management (MDM) Software (2nd), Cloud Data Integration (7th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (7th)

Mindshare comparison

As of October 2026, in the Data Quality category, the mindshare of Microsoft Data Quality Services is 2.1%, up from 1.6% compared to the previous year. The mindshare of Qlik Talend Cloud is 6.8%, down from 7.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	6.8%
Microsoft Data Quality Services	2.1%
Other	91.1%

Data Quality

Featured Reviews

Satyam Saxena

Technical Lead at a computer software company with 5,001-10,000 employees

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

Henrique Fsantos

Data & Analytics Engineer at PicPay

Automated data pipelines have improved analytics workflows and provide trusted reporting data

The best features of Qlik Talend Cloud are its connectors to many systems, databases, APIs, and files, including both SQL and NoSQL databases. The scheduling feature allows me to run jobs automatically in the cloud, and the built-in data quality tools help clean and check data. The reusable components enable me to reuse jobs and parts, which saves time, making it easy to build good data pipelines. The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work. This saves time, reduces errors, and makes the pipelines more stable. In my daily work, I can trust that the data is updated on time and ready for reports and analytics. Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions. This has improved operational stability, productivity, and trust in the data. Since using Qlik Talend Cloud, we have reduced manual work, resulting in approximately 20% to 30% time savings in data load processes. We have also seen a reduction in operational errors, mainly due to automation and the data quality checks, and a clear improvement in data reliability since the pipelines became more standardized and monitored.

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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."

"Overall, the management and running environment are very stable, and I would rate it an eight out of ten."

"The best features Qlik Talend Cloud offers include the fact that it is built on Java, which gives me the chance to customize my requirements and write my own Java code to achieve my logic."

"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."

"The process of upgrading the software is quite easy."

"Flexibility is a key feature I appreciate about Talend Data Integration, especially the integration of Java within it and the ease of integrating with multiple source repositories such as GitHub and Bitbucket."

"The Studio is easy to understand."

"Qlik Talend Cloud positively impacted my organization by enabling businesses to accelerate data decisions very easily and reducing execution time."

"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."

More Qlik Talend Cloud pros

Cons

"Technical support from Microsoft is poor, as they do not provide adequate assistance with issues encountered in integration or forming automation."

"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."

"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."

"Lots of errors and system crashes during installation and IMHO we didn’t receive good enough technical support and guidance from Talend to solve the issues."

"In the Philippines, there's only a handful of Talend support. The support is very helpful, but it's very limited."

"The ability to change the code when debugging the JavaScript could be improved."

"The sales and market department could improve the Talend Data Management Platform."

"I would say that some of the support elements need improvement."

"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."

"We'd like to see more connectors it the future."

More Qlik Talend Cloud cons

Pricing and Cost Advice

"The pricing is in the midrange. It's not cheap, but it depends on the licenses you require."

"I have been using the open-source version."

"The licensing cost for the Talend MDM Platform is paid yearly, but I'm unable to give you the figure. I would rate its price as four out of five because it's on the cheaper side. I'm not aware of any extra costs in addition to the standard licensing fees for the Talend MDM Platform."

"The product pricing is considered very good, especially compared to other data integration tools in the market."

"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."

"The price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."

"The solution's pricing is very reasonable and half the cost of Informatica."

"The licensing cost is about 40,000 Euros a year."

More Qlik Talend Cloud pricing and cost advice

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915,341 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

10%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	12
Large Enterprise	20

Questions from the Community

What is your experience regarding pricing and costs for Microsoft Data Quality Services?

Microsoft Data Quality Services comes as part of SQL Server without additional costs, making it a competitive solution.

What needs improvement with Microsoft Data Quality Services?

What is your primary use case for Microsoft Data Quality Services?

I use Microsoft Data Quality Services ( /products/microsoft-data-quality-services-reviews ) to handle data inconsistencies, such as missing or improperly formatted data. The tool serves purposes li...

What needs improvement with Talend Data Quality?

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...

What is your primary use case for Talend Data Quality?

It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...

What advice do you have for others considering Talend Data Quality?

Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...

Informatica Intelligent Data Management Cloud (IDMC) vs Microsoft Data Quality Services

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Product Reports

Data Quality

Download Microsoft Data Quality Services product report

Qlik Talend Cloud

Download Qlik Talend Cloud product report

Also Known As

MS Data Quality Services

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

Overview

Microsoft Data Quality Services provides essential data management capabilities, enabling businesses to maintain and improve data quality. It offers a comprehensive platform designed for data profiling, cleansing, and matching, making it indispensable in managing data accuracy.

Microsoft Data Quality Services supports organizations in streamlining data validation and improving data integrity. It offers versatile tools that integrate seamlessly with existing systems, helping to address issues of data inconsistency and redundancy. Its flexibility and robust architecture allow users to develop custom workflows, ensuring that data remains a valuable resource for decision-making. This tool is particularly beneficial for enterprises seeking to optimize their data quality strategies while reducing errors and enhancing operational efficiency.

What features stand out in Microsoft Data Quality Services?

Data Profiling: Analyzes data to identify trends and anomalies.
Data Cleansing: Provides rules for correcting and enhancing data accuracy.
Data Matching: Recognizes and merges duplicate entries to streamline datasets.
Knowledge Base Management: Allows users to manage custom data quality rules.
Integration: Seamlessly integrates with SQL Server and other Microsoft technologies.

What benefits can users expect from Microsoft Data Quality Services?

Improved Data Accuracy: Ensures data reliability for better decision-making.
Cost Efficiency: Reduces operational inefficiencies associated with data errors.
Enhanced Productivity: Automates data quality tasks, saving time and effort.
Scalability: Adapts to growing business needs without significant overhead.

In finance, Microsoft Data Quality Services aids compliance by ensuring accurate client data. Retail sectors benefit by maintaining clean customer information for targeted marketing, while healthcare providers use it to manage patient data efficiently. Its adaptability supports diverse industry requirements, making it a versatile choice for enterprise data quality management.

Microsoft

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Sample Customers

Information Not Available

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Microsoft Data Quality Services vs. Qlik Talend Cloud