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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
5th
Ranking in Master Data Management (MDM) Software
3rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
55
Ranking in other categories
Data Quality (2nd), Data Scrubbing Software (1st), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)
WinPure Data Quality Platform
Ranking in Data Integration
111th
Ranking in Master Data Management (MDM) Software
21st
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 March 2026, in the Master Data Management (MDM) Software category, the mindshare of Qlik Talend Cloud is 6.2%, down from 9.8% compared to the previous year. The mindshare of WinPure Data Quality Platform is 1.2%, 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 Cloud6.2%
WinPure Data Quality Platform1.2%
Other92.6%
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

"Talend has allowed us to systematically organise/structure and deploy our staged ETL transformation processes from Development into production, we have tracked our data quality efforts during our runs and supplied comprehensive feedback during our development."
"The basic tools are easy to pick up and understand."
"The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets."
"It meets our operational and analytical data integration needs by providing us with a high performing set of tools to access, transform and integrate data in real time."
"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 file fetch process is impeccable."
"Maybe the best thing is the product's easy start-up level when you are familiar with Java."
"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."
"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

"The sales and market department could improve the Talend Data Management Platform."
"Processing large volumes of data sometimes consumes a lot of resources."
"Performance and speed could be improved."
"Due to using the open-source version of Talend Data Integration, which lacks a scheduler, our current approach involves developing jobs in Talend, exporting them as Java packages, and utilizing an external scheduler, such as Windows Scheduler, to manage the scheduling process."
"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 think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."
"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."
"We'd like to see more connectors it the future."
"The pricing model could use improvement."
 

Pricing and Cost Advice

"I have been using the open-source version."
"The licensing cost is about 40,000 Euros a year."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"The solution's pricing is very reasonable and half the cost of Informatica."
"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 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."
Information not available
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
10%
Comms Service Provider
7%
Government
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
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...
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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 SAP, TIBCO, Qlik and others in Master Data Management (MDM) Software. Updated: February 2026.
884,873 professionals have used our research since 2012.