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

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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
56
Ranking in other categories
Data Integration (7th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (4th), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (11th), 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

Henrique Fsantos - PeerSpot reviewer
Data & Analytics Engineer at PicPay
Automated data pipelines have improved analytics workflows and provide trusted reporting data
The best features of Qlik Talend Cloud are its connectors to many systems, databases, APIs, and files, including both SQL and NoSQL databases. The scheduling feature allows me to run jobs automatically in the cloud, and the built-in data quality tools help clean and check data. The reusable components enable me to reuse jobs and parts, which saves time, making it easy to build good data pipelines. The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work. This saves time, reduces errors, and makes the pipelines more stable. In my daily work, I can trust that the data is updated on time and ready for reports and analytics. 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. This has improved operational stability, productivity, and trust in the data. Since using Qlik Talend Cloud, we have reduced manual work, resulting in approximately 20% to 30% time savings in data load processes. We have also seen a reduction in operational errors, mainly due to automation and the data quality checks, and a clear improvement in data reliability since the pipelines became more standardized and monitored.
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

"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."
"​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.​"
"Overall, from 2017 to 2020, we have almost saved around 140,000 to 160,000 hours, which is only with respect to the data."
"Talend is user-friendly and has many components and connectors, which makes it a great choice."
"The primary use case is for data ingestion."
"Coming into the department with no knowledge of Talend, the interface has been user-friendly enough to allow me to come up to speed in four to five months on almost all its functions and use it like a pro."
"The tool was mainly used for ETL processes to apply governance rules on data."
"Qlik Talend Cloud positively impacted my organization by enabling businesses to accelerate data decisions very easily and reducing execution time."
"The biggest advantage of Talend is that they have an active community, and if we face any issue, we can get input in a short duration of time."
"I really like the data fabric."
"The most valuable features are the stewardship and the data prep."
 

Cons

"As it is a open source tool, some minor bugs are there."
"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling."
"With M rows, it runs too slowly and has memory issues."
"Sometimes when working with larger datasets (possibly due to insufficient memory)."
"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."
"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs."
"The ability to change the code when debugging the JavaScript could be improved."
"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."
"From the UI side, it'll trouble a lot."
"Creating a model and deploying it is a little bit tricky in Talend, compared to other tools."
"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."
"I do not have notes for improvement."
 

Pricing and Cost Advice

"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 solution's pricing is very reasonable and half the cost of Informatica."
"I have been using the open-source version."
"License renewal is on a yearly basis."
"The tool is cheap."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"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's a subscription-based platform, we renew it every year."
"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
14%
Outsourcing Company
12%
Comms Service Provider
11%
Construction Company
8%
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...
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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
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