Qlik Talend Cloud and Alteryx Designer are both leaders in the data integration and analytics tool category. Alteryx Designer has the upper hand in ease of use with its intuitive drag-and-drop functionality, while Qlik Talend Cloud shines with its real-time data access and comprehensive integration capabilities.
Features: Qlik Talend Cloud offers real-time data access, strong monitoring capabilities, and flexible custom code integration. Users value its comprehensive integration capabilities, which allow for seamless data interaction across platforms. Alteryx Designer provides a user-friendly experience with drag-and-drop functionality, a wide range of analytics tools, and flexibility in data transformation setups.
Room for Improvement: Qlik Talend Cloud faces challenges with installation difficulties, memory usage, and stability, requiring enhancements in technical support and documentation. Alteryx Designer's areas for improvement include its complex pricing structure and cloud integration capabilities. Users also highlight the need for better collaboration tools and cost management options.
Ease of Deployment and Customer Service: Both platforms offer versatile deployment options, with Qlik Talend Cloud having a slight advantage in cloud support. Users report mixed experiences with customer service; however, they value Qlik's community support and online resources, while Alteryx Designer is noted for timely response from support teams.
Pricing and ROI: Qlik Talend Cloud is considered cost-effective, particularly its open-source version, with a flexible subscription model aiding quick ROI. Alteryx Designer, however, is perceived as expensive, especially for scalability, making it less accessible for smaller enterprises. Despite the pricing concerns, both solutions deliver significant ROI through enhanced efficiency and time savings.
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.
The scalability of Talend Data Integration is good; if it weren't scalable, it wouldn't be reliable.
Its scalability is good, as Qlik Talend Cloud can handle large amounts of data and grow as needed, especially in cloud environments.
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.
On the flip side, that is one of its amazing strengths, as you are not locked into a very rigid way of doing something.
It would be great to have more ready-to-use connectors for modern cloud and SaaS platforms.
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.
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 | Market Share (%) |
|---|---|
| Qlik Talend Cloud | 1.9% |
| Alteryx Designer | 1.5% |
| Other | 96.6% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 3 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 18 |
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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