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Pimcore vs Qlik Talend Cloud comparison

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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

Pimcore
Ranking in Master Data Management (MDM) Software
12th
Ranking in Cloud Master Data Management (MDM)
13th
Average Rating
6.0
Reviews Sentiment
5.9
Number of Reviews
1
Ranking in other categories
Digital Asset Management (19th), Customer Data Platforms (CDP) (24th)
Qlik Talend Cloud
Ranking in Master Data Management (MDM) Software
3rd
Ranking in Cloud Master Data Management (MDM)
3rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
56
Ranking in other categories
Data Integration (7th), Data Quality (2nd), Data Scrubbing Software (1st), Cloud Data Integration (6th), Data Governance (9th), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of September 2026, in the Master Data Management (MDM) Software category, the mindshare of Pimcore is 3.2%, up from 2.7% compared to the previous year. The mindshare of Qlik Talend Cloud is 7.8%, up from 6.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Master Data Management (MDM) Software Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud7.8%
Pimcore3.2%
Other89.0%
Master Data Management (MDM) Software
 

Featured Reviews

reviewer2296077 - PeerSpot reviewer
Executive Director at a tech services company with 51-200 employees
The solution is easy to use, but the UI and UX must be improved
We implemented a project in the last eight months. We use the product for data transformation and e-commerce The solution is easy to use. The UI and UX must be improved. Automated data handling must be improved. I have been using the solution for six years. I am using the latest version of the…
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.

Quotes from Members

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

Pros

"The solution is easy to use."
"Before, when we wanted solutions and REST APIs, we handed it over to an external company, so it took time, back and forth and all that, but now, with Qlik Talend Cloud, when we want a service, we create it, and in at most one or two days the service is in production and usable, so we save a lot of time."
"The process of upgrading the software is quite easy."
"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."
"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."
"Qlik Talend Cloud positively impacted my organization by enabling businesses to accelerate data decisions very easily and reducing execution time."
"The most valuable features of the Talend Data Management Platform are the components."
"If you are looking for something that is stable, cost-effective and has a great ROI, then Talend is a great choice."
"We can develop our own code if we do not see the functionality we need."
 

Cons

"The UI and UX must be improved."
"Not enough material is available for beginners."
"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."
"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."
"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."
"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling."
"The usage of memory. This tool uses a huge amount of memory."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
 

Pricing and Cost Advice

Information not available
"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 tool is cheap."
"I have been using the open-source version."
"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's a subscription-based platform, we renew it every year."
"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."
"The solution's pricing is very reasonable and half the cost of Informatica."
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Top Industries

By visitors reading reviews
Construction Company
14%
Comms Service Provider
14%
Manufacturing Company
13%
Healthcare Company
11%
Financial Services Firm
14%
Outsourcing Company
12%
Comms Service Provider
10%
Construction Company
8%
 

Company Size

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

Questions from the Community

Ask a question
Earn 20 points
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...
 

Also Known As

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

Overview

 

Sample Customers

Deutsche Bahn AG, Burger King, Intersport, Bösch, BuildDirect, Gogo, Ikea, GANT, Peugeot Motorcycles, Heidelberg, NextJet, Antonio Viani Importe GmbH, Deutsche Bahn AG, T-Mobile
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about TIBCO, SAP, Qlik and others in Master Data Management (MDM) Software. Updated: September 2026.
913,806 professionals have used our research since 2012.