

Qlik Talend Cloud and Alteryx Designer compete in the data integration and analytics category. Qlik Talend Cloud has the upper hand in pricing and support, while Alteryx Designer excels in features, offering a superior user experience.
Features: Qlik Talend Cloud offers extensive connectivity options, automated scheduling, and reusable components that simplify data pipelines. It effectively manages cloud and on-premises data integration with real-time processing capabilities. Alteryx Designer is preferred for advanced data preparation and integration tasks. Its drag-and-drop functionality simplifies complex operations for non-technical users, providing robust analytics and machine learning tools that enhance decision-making processes.
Room for Improvement: Qlik Talend Cloud could improve monitoring capabilities and job performance visibility, with users seeking advanced alerting and error management. Alteryx Designer needs better reporting features and cloud compatibility; despite its ease of use, it is considered expensive compared to similar tools. Stability and performance issues are common criticisms for both, prompting calls for continual updates and better customer support.
Ease of Deployment and Customer Service: Qlik Talend Cloud is praised for flexible deployment across cloud environments, with highly rated, responsive support. Alteryx Designer excels on-premises but is less adaptable to cloud scenarios. It receives mixed feedback on customer service, indicating a need for improved technical guidance. While both offer valuable support, Qlik Talend Cloud appears better equipped for cross-platform customer needs.
Pricing and ROI: Qlik Talend Cloud offers cost-effective pricing, especially suitable for small to medium enterprises, making it competitive against traditional tools like Informatica. Alteryx Designer, known for high performance, is seen as costly, with expensive licensing and extra fees for automation features. Although both promise ROI through time savings and efficiency improvements, Alteryx Designer presents a higher initial cost barrier.
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.
There are areas where they need to improve response time and overall competence.
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.
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.
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.
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.
It's cheaper than Palantir, but even Alteryx is too much for small clients.
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.
The main valuable aspect is the simplicity of use across all features.
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.
| Product | Mindshare (%) |
|---|---|
| Qlik Talend Cloud | 2.4% |
| Alteryx Designer | 1.4% |
| Other | 96.2% |

| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 3 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
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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