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Qlik Talend Cloud vs WinPure Data Quality Platform comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 22, 2026

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

Qlik Talend Cloud
Ranking in Data Integration
6th
Ranking in Master Data Management (MDM) Software
3rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Quality (2nd), Data Scrubbing Software (1st), Cloud Data Integration (7th), Data Governance (9th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
WinPure Data Quality Platform
Ranking in Data Integration
109th
Ranking in Master Data Management (MDM) Software
18th
Average Rating
0.0
Reviews Sentiment
8.3
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2026, in the Master Data Management (MDM) Software category, the mindshare of Qlik Talend Cloud is 7.5%, down from 7.9% compared to the previous year. The mindshare of WinPure Data Quality Platform is 1.6%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Master Data Management (MDM) Software Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud7.5%
WinPure Data Quality Platform1.6%
Other90.9%
Master Data Management (MDM) Software
 

Featured Reviews

HJ
IT Consultant at a tech services company with 201-500 employees
Has automated recurring data flows and improved accuracy in reporting
The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.
reviewer1126923 - PeerSpot reviewer
Systems Architect at a tech services company with 1,001-5,000 employees
A solution that offers good performance, good stability, and a straightforward setup
We are a reseller of the solution. We handle on-premises deployment. The solution is very similar to IBM. It may have a bit more integration capabilities that IBM doesn't have yet, but they are similar. In terms of which would be better, it would come down to the customer's requirements. I'd rate the solution nine out of ten. All of our customers are very happy and very impressed with the product.

Quotes from Members

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

Pros

"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."
"Extract, Transform, and Load (ETL) transformations are open source and is a valuable feature."
"The primary use case is for data ingestion."
"Talend Data Integration has had a measurable impact on our organization by automating daily data loading processes, reducing manual effort by around three or four hours per day, improving data accuracy with error rates dropping by more than 70%, and enabling reporting teams to receive fresh data at least 50% faster for earlier and more confident decision-making."
"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."
"You move data from one source to another without problem and apply some business rules in data."
"The Studio is easy to understand."
"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."
"With regards to choosing flash versus traditional storage, it's just so much simpler to manage and users get so much better performance from flash."
 

Cons

"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"The stability is good, but the performance is slower when I work on a huge amount of data."
"First, We faced problems with stability of the products."
"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."
"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."
"There are no concurrent licenses, they only have seat licenses on cloud. That's the whole challenge. For example, if in any project your headcount increases or decreases, you do not have that concurrence and you have a seat license, you run into challenges because you have to procure a few more licenses for getting the job done."
"Qlik Talend Cloud is doing well, but one improvement could be the integration of development functionalities we use in Talend Studio directly onto the Talend browser."
"You can't join more than two tables for analysis."
"The pricing model could use improvement."
 

Pricing and Cost Advice

"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 product pricing is considered very good, especially compared to other data integration tools in the market."
"The licensing cost is about 40,000 Euros a year."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"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 tool is cheap."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Comms Service Provider
9%
Construction Company
8%
Computer Software Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise12
Large Enterprise20
No data available
 

Questions from the Community

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...
Ask a question
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Also Known As

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
No data available
 

Overview

 

Sample Customers

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Birmingham Hippodrome, Luton Borough Council, Apex Innovations, Sandia National Laboratories, Clear Blue, Vodafone
Find out what your peers are saying about TIBCO, SAP, Qlik and others in Master Data Management (MDM) Software. Updated: June 2026.
900,747 professionals have used our research since 2012.