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Qlik Talend Cloud vs Talend Open Studio for MDM [EOL] comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 18, 2025

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
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
55
Ranking in other categories
Data Integration (5th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)
Talend Open Studio for MDM ...
Average Rating
7.6
Reviews Sentiment
6.9
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

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.
Mubahir Rashid - PeerSpot reviewer
Data Analytics Consultant at Aletha Corp
Good data fabric and a straightforward setup with the ability to extend
I really like the data fabric. In my data fabric, we have a component related to cloud computing that is quite useful. The data fabric has improved over the previous version. The user interface is fine. There are good integrations possible with the product. The initial setup is very straightforward. It is a scalable product.

Quotes from Members

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

Pros

"Overall, from 2017 to 2020, we have almost saved around 140,000 to 160,000 hours, which is only with respect to the data."
"The scheduling part of the solution is very good."
"​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.​"
"They're very competitive in terms of performance, which is a good selling point. It has very rich features. It provides a very rich feature set in the application."
"The best feature of Talend Data Integration is its multiple data DB components; we have almost all the components and also cloud versions, with TMC allowing us to perform data preparation and data stewardship."
"Provides a flexible development environment to the coder.​"
"It has definitely streamlined certain processes.​"
"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."
"The most valuable features are the stewardship and the data prep."
"I really like the data fabric."
"The most valuable features are the stewardship and the data prep."
"The biggest advantage of Talend is that they have an active community. If we face any issue, we can get input in a short duration of time."
 

Cons

"Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using."
"SQL for displaying underlying data in non-match results does not work."
"Processing large volumes of data sometimes consumes a lot of resources."
"The ability to change the code when debugging the JavaScript could be improved."
"If we encounter issues, it’s most likely when using the Talend Open Studio. The studio can be slow, get stuck, or crash. But again, it can be caused by the resources of your machine or your connection with the repository. If we encounter issues with the Studio we restart the Studio. In emergencies, we create and use a new workspace."
"I would say that some of the support elements need improvement."
"The biggest challenge with Talend was its performance."
"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."
"It can definitely be improved on the UI side. They can provide a better UI as compared to what is currently available. I'm trying to set up the UI to capture some information, and when I try to use the native feature of Talend, I'm finding it difficult. It could be improved a bit. Only when it comes to MDM, it is not user-friendly, but when it comes to data integration of Big Data, it's extremely user-friendly."
"Creating a model and deploying it is a little bit tricky in Talend, compared to other tools."
"I do not have notes for improvement."
"Creating a model and deploying it is a little bit tricky in Talend, compared to other tools."
 

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 licensing cost is about 40,000 Euros a year."
"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 tool is cheap."
"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."
"It has one single license, and everything is included in it."
"The licensing fees vary depending on the products that you purchase."
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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
Information Not Available
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