

Qlik Talend Cloud and MuleSoft Composer are competitors in data integration and automation. MuleSoft Composer appears to have the upper hand due to its robust features.
Features: Qlik Talend Cloud offers comprehensive data integration capabilities, flexibility in connecting various data sources, and supports cloud deployments effectively. MuleSoft Composer provides pre-built connectors, API integration, and a modular design allowing tailored solutions for specific automation needs.
Room for Improvement: Qlik Talend Cloud could improve in real-time data processing capabilities, enhance its user interface for better user experience, and expand the number of pre-built connectors available. MuleSoft Composer might work on improving its learning curve for new users, optimizing deployment for simpler setup, and offer more extensive customization options in integration flows.
Ease of Deployment and Customer Service: Qlik Talend Cloud offers a straightforward deployment process complemented by accessible customer support, especially beneficial for businesses with limited IT resources. Meanwhile, MuleSoft Composer's deployment is more complex, requiring a steeper learning curve. It provides rich support options and a resource-full ecosystem that's advantageous for larger enterprises.
Pricing and ROI: Qlik Talend Cloud boasts an attractive initial setup cost with favorable ROI owing to its scalability and support benefits. In contrast, MuleSoft Composer demands a higher initial investment, yet its wide-ranging feature set and integration capabilities justify its cost, offering substantial long-term value for comprehensive integration platforms.
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.
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.
It would be better to concentrate on one platform and develop everything on it for the integrated development environment.
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.
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.
It has more options for installation and architecture because it can run entirely on-premise.
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 | 4.2% |
| MuleSoft Composer | 2.5% |
| Other | 93.3% |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
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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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