

Qlik Talend Cloud and StreamSets are prominent data integration solutions, each offering distinct advantages. StreamSets tends to have an upper hand with its feature-rich offerings, making it especially appealing for users needing comprehensive data handling capabilities.
Features: Qlik Talend Cloud provides tools for operational and analytical data integration, remote execution of jobs, and centralized monitoring. It also allows custom code modifications and features extensive connectors. StreamSets offers ease of pipeline design without coding expertise, robust data drift handling, and seamless integration with a variety of data sources, catering well to both batch and streaming data processes.
Room for Improvement: Qlik Talend Cloud experiences issues with system crashes, memory usage, and stability, alongside challenges with debugging and documentation. StreamSets users mention a steep learning curve due to less intuitive documentation and suggest improvements in logging, GUI enhancements, and security features.
Ease of Deployment and Customer Service: Qlik Talend Cloud offers flexible deployment across various cloud and on-premises environments. StreamSets focuses on public and hybrid cloud deployments. Both solutions receive praise for their support, with Qlik Talend Cloud noted for its proactive service and StreamSets recommended for needing enhanced guidance.
Pricing and ROI: Qlik Talend Cloud offers an open-source version and flexible pricing models, proving attractive for smaller enterprises with positive ROI through time savings and efficiency. StreamSets, despite being pricier, delivers value through its extensive features, resulting in long-term cost savings and effective data management.
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.
IBM technical support sometimes transfers tickets between different teams due to shift changes, which can be frustrating.
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 would be beneficial if StreamSets addressed any potential memory leak issues to prevent unnecessary upgrades.
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.
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.
It allows a hybrid installation approach, rather than being completely cloud-based or on-premises.
| Product | Mindshare (%) |
|---|---|
| Qlik Talend Cloud | 2.4% |
| StreamSets | 1.2% |
| Other | 96.4% |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 2 |
| Large Enterprise | 11 |
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.
StreamSets is a data integration platform that enables organizations to efficiently move and process data across various systems. It offers a user-friendly interface for designing, deploying, and managing data pipelines, allowing users to easily connect to various data sources and destinations. StreamSets also provides real-time monitoring and alerting capabilities, ensuring that data is flowing smoothly and any issues are quickly addressed.
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