

Qlik Talend Cloud and Spring Cloud Data Flow are both competitive products in cloud-based data management. While Qlik Talend Cloud is praised for its data integration features, Spring Cloud Data Flow is seen as offering better value through advanced orchestration and scalability.
Features: Qlik Talend Cloud supports various data sources with extensive connectors and allows custom code integration, facilitating real-time data transformation and robust integration. Spring Cloud Data Flow is recognized for its real-time streaming, microservices orchestration, and seamless integration capabilities, providing a flexible infrastructure for varied cloud environments.
Room for Improvement: Users of Qlik Talend Cloud suggest improvements in system stability, memory usage, and API integration. They also seek better documentation and smoother ETL processes. For Spring Cloud Data Flow, enhancements are needed in user interface intuitiveness, community support, and documentation quality, with a focus on configuration and user experience.
Ease of Deployment and Customer Service: Qlik Talend Cloud offers versatile deployment options across on-premises and cloud configurations, but customer service experiences are mixed. Spring Cloud Data Flow also has robust deployment options, though its user community and support require enhancement. Despite strong technical support ratings, Spring Cloud Data Flow users note issues with community support and configuration guidance.
Pricing and ROI: Qlik Talend Cloud presents a competitive pricing model with cost-effective solutions, though some users find the pricing structure complex. Open-source components contribute to economical implementation, resulting in significant time savings and ROI. Spring Cloud Data Flow, as an open-source tool, provides initial cost savings with some fees for support services. Users value its scalability and workflow capabilities, frequently reporting a notable ROI due to streamlined processes and reduced manual tasks.
| Product | Market Share (%) |
|---|---|
| Qlik Talend Cloud | 1.9% |
| Spring Cloud Data Flow | 1.1% |
| Other | 97.0% |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 11 |
| Large Enterprise | 20 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 1 |
| Large Enterprise | 5 |
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.
Spring Cloud Data Flow is a toolkit for building data integration and real-time data processing pipelines.
Pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics. Use Spring Cloud Data Flow to connect your Enterprise to the Internet of Anything—mobile devices, sensors, wearables, automobiles, and more.
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