Microsoft Data Quality Services vs Qlik Talend Cloud comparison

Why PeerSpot?

Microsoft and Qlik are both solutions in the Data Quality category. Microsoft is ranked #14 with an average rating of 7.0, while Qlik is ranked #2 with an average rating of 7.9. Microsoft holds a 2.1% mindshare in DQ, compared to Qlik’s 6.8% mindshare. Additionally, 100% of Microsoft users are willing to recommend the solution, compared to 89% of Qlik users who would recommend it.

Microsoft Data Quality Serv...

Read 2 Microsoft Data Quality Services reviews

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1,182 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

21,375 Views
4,061 Comparison Views

89% willing to recommend

Microsoft Data Quality Serv...

Qlik Talend Cloud

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and Microsoft Data Quality Services compete in data management and quality improvement. While Qlik Talend Cloud offers more favorable pricing and support, Microsoft Data Quality Services stands out for its feature set, suggesting greater value for investment.

Features: Qlik Talend Cloud provides advanced data integration, big data capabilities, and a wide array of connectors. Microsoft Data Quality Services focuses on data cleansing, profiling, and management, with integration into the Microsoft ecosystem. Qlik Talend Cloud emphasizes flexibility and scalability, whereas Microsoft Data Quality Services prioritizes robust data quality management.

Ease of Deployment and Customer Service: Qlik Talend Cloud offers flexible deployment options as a cloud and on-premise solution with responsive support. Microsoft Data Quality Services, integrated with SQL Server, facilitates deployment for Windows-based systems, with reliable support and integration with Microsoft products.

Pricing and ROI: Qlik Talend Cloud is considered cost-effective with a quicker return on investment due to competitive pricing and extensive functionalities. Microsoft Data Quality Services, despite potentially higher setup costs, delivers significant ROI through detailed data quality capabilities and integration within Microsoft applications.

To learn more, read our detailed Microsoft Data Quality Services vs. Qlik Talend Cloud Report (Updated: November 2026).

Buyer's Guide

Microsoft Data Quality Services vs. Qlik Talend Cloud

November 2026

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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

14th

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 (7th), Data Scrubbing Software (1st), Master Data Management (MDM) Software (4th), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (11th), Integration Platform as a Service (iPaaS) (6th)

Mindshare comparison

As of November 2026, in the Data Quality category, the mindshare of Microsoft Data Quality Services is 2.1%, up from 1.8% compared to the previous year. The mindshare of Qlik Talend Cloud is 6.8%, up from 6.7% 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.

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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

"This solution is particularly useful for data enrichment."

"The primary advantage of Microsoft Data Quality Services is its capability to automate certain tasks, which are otherwise achieved through SQL queries."

"Better control and flexibility to add/custom define features, to tailor to your needs by modifying its Java generated code."

"The most valuable feature is integration."

"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."

"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."

"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."

"Overall, from 2017 to 2020, we have almost saved around 140,000 to 160,000 hours, which is only with respect to the data."

"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."

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

More Qlik Talend Cloud 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."

"If I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step."

"Data management could also encompass APIs and real-time streaming data integration."

"SQL for displaying underlying data in non-match results does not work."

"Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license."

"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."

"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."

"Processing large volumes of data sometimes consumes a lot of resources."

"What's missing in the Talend MDM Platform is that it's not maintaining technology references. For example, my company needs a reference case if the platform has been implemented for a configuration that's similar to the client's required configuration. Currently, the client is still reluctant to roll out the Talend MDM Platform at a wider level because there's still no reference received from the Talend team."

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."

"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."

"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."

"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."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"License renewal is on a yearly basis."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

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

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

More Qlik Talend Cloud pricing and cost advice

See which vendors are best for you

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

11%

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.

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What needs improvement with Microsoft Data Quality Services?

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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...

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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 ...

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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...

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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...

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Comparisons

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

Compared 19% of the time

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Compared 17% of the time

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Compared 7% of the time

SAP Information Steward vs Microsoft Data Quality Services

Compared 7% of the time

BCC Data Quality vs Microsoft Data Quality Services

Compared 6% of the time

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Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Talend Cloud

Compared 3% of the time

Databricks vs Qlik Talend Cloud

Compared 2% of the time

Ataccama ONE Platform vs Qlik Talend Cloud

Compared 2% of the time

SSIS vs Qlik Talend Cloud

Compared 2% of the time

IBM webMethods Hybrid Integration vs Qlik Talend Cloud

Compared 2% of the time

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Product Reports

Buyer's Guide

Data Quality

October 2026

Download Microsoft Data Quality Services product report

Buyer's Guide

Qlik Talend Cloud

October 2026

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

Buyer's Guide

Microsoft Data Quality Services vs. Qlik Talend Cloud

November 2026

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