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Pimcore vs Qlik Talend Cloud 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

Pimcore
Ranking in Master Data Management (MDM) Software
11th
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 (20th), Customer Data Platforms (CDP) (33rd)
Qlik Talend Cloud
Ranking in Master Data Management (MDM) Software
3rd
Ranking in Cloud Master Data Management (MDM)
4th
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), Cloud Data Integration (6th), Data Governance (8th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)
 

Mindshare comparison

As of April 2026, in the Master Data Management (MDM) Software category, the mindshare of Pimcore is 3.1%, up from 2.5% compared to the previous year. The mindshare of Qlik Talend Cloud is 6.7%, down from 8.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Master Data Management (MDM) Software Mindshare Distribution
ProductMindshare (%)
Qlik Talend Cloud6.7%
Pimcore3.1%
Other90.2%
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."
"​It lowers the amount of time in development from weeks to a day.​"
"Talend Data Integration has positively impacted my organization because it is used for master management data, which I think most other components lack, but Talend Data Integration has that capability for using master management data as standard data."
"Overall, from 2017 to 2020, we have almost saved around 140,000 to 160,000 hours, which is only with respect to the data."
"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."
"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."
"I'm very passionate about this solution because if you look at any other tool that costs around $200 - $300,000, like Delphix which costs you a million dollars, Talend is very cheap and is almost is at par with what others can do. There is one thing which Delphix does which Talend cannot do, but overall, I would say apart from that, if you're looking for a solution, you should give it a try."
"tLogRows are also great for finding bad data."
"We’re also able to respond much more quickly to changes and demands from the business, as we can create and change jobs quickly and provide new data for reports within hours."
 

Cons

"The UI and UX must be improved."
"I wonder if, at the same price, the API component could be added, which would be beneficial."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"Performance and speed could be improved."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta data."
"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."
"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."
"There are no concurrent licenses, they only have seat licenses on cloud. 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."
"You can't join more than two tables for analysis."
 

Pricing and Cost Advice

Information not available
"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
"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 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 solution's pricing is very reasonable and half the cost of Informatica."
"The tool is cheap."
"It's a subscription-based platform, we renew it every 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."
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Top Industries

By visitors reading reviews
Construction Company
15%
Healthcare Company
11%
Comms Service Provider
11%
Manufacturing Company
9%
Financial Services Firm
16%
Computer Software Company
8%
Comms Service Provider
8%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
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 SAP, TIBCO, Qlik and others in Master Data Management (MDM) Software. Updated: March 2026.
890,088 professionals have used our research since 2012.