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Qlik Talend Cloud vs n8n Automation Stack with maintenance support by Intuz Inc. 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

n8n Automation Stack with m...
Ranking in Integration Platform as a Service (iPaaS)
19th
Average Rating
10.0
Reviews Sentiment
2.2
Number of Reviews
1
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Integration Platform as a Service (iPaaS)
6th
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 (3rd), Cloud Data Integration (6th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th)
 

Featured Reviews

RB
Digital Media Designer at a consultancy with 11-50 employees
Has reduced manual work and improved workflow efficiency through low-code automation
It has saved us a lot of manual effort and time. Earlier, we had to rely on custom scripts and cron jobs, but now everything runs smoothly using n8n flows. The Intuz support team was also quick to help whenever we needed setup assistance or faced configuration issues. Overall, it has made our internal operations more efficient.
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

"It has saved us a lot of manual effort and time; earlier, we had to rely on custom scripts and cron jobs, but now everything runs smoothly using n8n flows."
"I think Talend is one of the easiest tools for faster implementation compared to other tools."
"We are able to get emails from URLs very easily using this function when others fail."
"The availability of connectors is great."
"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 scheduling part of the solution is very good."
"It has definitely streamlined certain processes.​"
"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."
"Talend Data integration has a wide library of connectors."
 

Cons

"It would be helpful to see a few more native integrations with project management tools such as Asana or Monday.com in future releases."
"I would say that some of the support elements need improvement."
"There are no concurrent licenses, they only have seat licenses on cloud. That's the whole challenge. 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."
"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."
"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."
"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."
"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."
"The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time."
"SQL for displaying underlying data in non-match results does not work."
 

Pricing and Cost Advice

Information not available
"The tool is cheap."
"The solution's pricing is very reasonable and half the cost of Informatica."
"I have been using the open-source version."
"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 pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"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."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
15%
Comms Service Provider
10%
Construction Company
9%
Outsourcing 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

What is your experience regarding pricing and costs for n8n Automation Stack with maintenance support by Intuz Inc.?
The pricing is very fair. It is free to start with, which makes it perfect for small teams or startups who want to explore automation without heavy upfront costs. Even with Intuz’s maintenance supp...
What needs improvement with n8n Automation Stack with maintenance support by Intuz Inc.?
The product is already great for most use cases. It would be helpful to see a few more native integrations with project management tools such as Asana or Monday.com in future releases.
What is your primary use case for n8n Automation Stack with maintenance support by Intuz Inc.?
We mainly use it for automating repetitive workflows between different tools such as Slack, Google Sheets, and internal APIs. It helps us set up end-to-end process automation without much coding ef...
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

Information Not Available
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
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