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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
55
Ranking in other categories
Data Integration (5th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (6th), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th)
 

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."
"If you are looking for something that is stable, cost-effective and has a great ROI, then Talend is a great choice."
"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."
"Talend has allowed us to systematically organise/structure and deploy our staged ETL transformation processes from Development into production, we have tracked our data quality efforts during our runs and supplied comprehensive feedback during our development."
"If your use case depends on heterogeneous sources like Salesforce, SAP, and some other product information systems, I would recommend Talend."
"The most valuable feature is the data loading and scripting language"
"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."
"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."
"Overall, the management and running environment are very stable, and I would rate it an eight out of ten."
 

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."
"Lots of errors and system crashes during installation and IMHO we didn’t receive good enough technical support and guidance from Talend to solve the issues."
"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components."
"Account for Java developers/custom development efforts apart from DQ functional/technical expertise, to use Talend DQ product to the fullest."
"I think they should drive toward AI and machine learning. They could include a machine-learning algorithm for the deduplication."
"Sometimes there are bugs which are unidentified and we have to follow-up with the Talend team to resolve them. In a critical situation, it takes time for them to update patches."
"I would say that some of the support elements need improvement."
"Processing large volumes of data sometimes consumes a lot of resources."
"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."
 

Pricing and Cost Advice

Information not available
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"The licensing cost for the Talend MDM Platform is paid yearly, but I'm unable to give you the figure. I would rate its price as four out of five because it's on the cheaper side. I'm not aware of any extra costs in addition to the standard licensing fees for the Talend MDM Platform."
"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."
"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 solution's pricing is very reasonable and half the cost of Informatica."
"License renewal is on a yearly basis."
"The licensing cost is about 40,000 Euros a year."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
16%
Comms Service Provider
8%
Computer Software Company
8%
Government
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business21
Midsize Enterprise11
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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