

Qlik Talend Cloud and n8n compete in the data integration and automation tools category. Qlik Talend Cloud generally has the upper hand due to its real-time processing and extensive features, while n8n is praised for its flexibility and ease of use.
Features: Qlik Talend Cloud offers robust real-time data processing, a wide range of connectors, and advanced data quality tools, catering to both operational and analytical needs. It also provides a central repository for sharing enterprise metadata, allowing for better integration and control. n8n, notable for its flexibility and ease of configuration, supports over 200 pre-built integrations. Its visual editor is ideal for quick automation setups, offering a low-code environment that requires basic programming skills.
Room for Improvement: Qlik Talend Cloud users report issues with system stability and memory usage, as well as the quality of technical support. Improvements in documentation and user-friendly cloud deployment configurations are suggested. n8n has limitations in scalability and can be complex during initial setup, especially for larger enterprises. Enhancements in user interface simplicity and more service provider integrations are recommended for better usability.
Ease of Deployment and Customer Service: Qlik Talend Cloud supports diverse deployment environments, including on-premises and hybrid clouds, providing flexibility to large enterprises. Its customer service, though robust, has room for improvement in handling complex cases. n8n is suitable for on-premises and public cloud deployments, with good customer support that aids efficient troubleshooting and effective communication.
Pricing and ROI: Qlik Talend Cloud, operating on a subscription model with a higher price point, offers strong ROI through time savings in ETL processes and reduced errors. n8n presents a cost-effective solution for SMBs with its open-source options and competitive pricing, appealing to organizations seeking affordable automation solutions with quick ROI through reduced manual tasks.
n8n provides a strong return on investment and is very helpful and cost-optimized.
They can save costs because they can reduce the hiring process for external developers for this type of automation that they can do themselves.
I believe the return on investment from using n8n is good because employees who previously worked on the specific problems I've automated can now focus on other, more interesting tasks.
It has helped us save a lot of time by automating repetitive data processes and reducing manual interventions.
We achieved around 20% to 30% time savings in the ETL process, reduced operational errors, and improved pipeline stability.
We actually achieved the first 18 months worth of work in the first six months.
I describe the support team as knowledgeable, helpful, and responsive.
I can reach out to members of the community, ask questions, and usually within a week, they're answered.
The support team is responsive when we raise issues, and they usually provide clear guidance or solutions.
I would rate the technical support from Talend Data Quality as an 8 or 9.
The customer support for Talend Data Integration is very good; whenever I raise a ticket in the customer portal, I immediately receive an email, and follow-up communication is prompt.
The standard solution allows for about five workflows at the same time, and it is scalable since I can upgrade my plan for more executions and workflows if needed.
One approach might take a day to go through all of it and another approach might take fifteen minutes to go through all of it.
It is crucial to have a technical team to support you with real experience in n8n and large-scale implementations.
By using features like job parallelization and modular design, we can expand our data flows without having to rebuild everything.
Its scalability is good, as Qlik Talend Cloud can handle large amounts of data and grow as needed, especially in cloud environments.
The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.
n8n deployments are some of the cheapest that I've come across; the monthly cost for n8n deployment self-hosted rarely exceeds five dollars.
I have not had any downtime with n8n.
n8n is stable, though the part that can be less stable is that you must stay connected to many APIs.
We have not encountered many issues with remote engines, and the interfaces are properly developed.
Once the jobs are properly designed and deployed, they run reliably without major issues.
It was not as stable when we were using TAC and on-premise systems, but currently, with Qlik Talend Cloud version 8.3 or 8.1, it is stable.
Documentation is really good.
Even though I can connect to different platforms with the HTTP node, it would be easier for people who are not technically advanced to connect with the internal integrations.
I would appreciate having more AI integrated into n8n, specifically an AI agent to help me better understand how to build workflows and assist when I encounter errors.
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
Better cost and resource visibility would help teams optimize their workloads.
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
The open source version is free.
I feel that the price is right as I'm using the standard version, which allows for about one thousand five hundred executions per month, which is sufficient for me and my organization.
For cloud environments, I noticed that depending on the number of nodes used and the number of executions, the basic plan might not be enough.
My experience with Talend Data Integration's pricing, setup cost, and licensing is that it is a bit higher compared to other tools, making it not very affordable.
The license cost has increased significantly, leading many companies to seek more profitable options in the market.
My clients know that the information is not leaking or being sold to anybody.
You can use expressions anywhere. Expressions are basic JavaScript functions or JavaScript code that you can put in any node to pass data dynamically.
n8n has positively impacted my organization by making our work faster and automated, eliminating the need to do everything manually.
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 perform profiling prior to data quality and post-data quality, and based on that, we determine how much it has improved to measure the efficiency of Talend Data Quality cleaning tools.
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.
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 3 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
n8n offers a flexible, low-code automation platform connecting over 200 applications to streamline workflows and increase efficiency through visual configurations and real-time monitoring.
n8n provides a robust environment for automating tasks with extensive integrations, benefitting users through its adaptability and developer-friendly design. It supports AI model integrations like ChatGPT to enhance automation. While users value its configurability and real-time logs, they suggest enhancements in scalability, stability, and documentation. It serves a multitude of purposes, from billing and customer support to marketing and data management, by linking platforms like Airtable and Google Sheets.
What are key features of n8n?n8n finds use in industries like healthcare, supply chain, and education, automating workflows to improve efficiency. Companies leverage it for tasks from e-commerce to AI-enhanced customer interactions, enhancing operations with minimal technical input required.
Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.
Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.
What are the key features?In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.
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