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.
Type | Title | Date | |
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Category | Data Integration | Mar 24, 2025 | Download |
Product | Reviews, tips, and advice from real users | Mar 24, 2025 | Download |
Comparison | Spring Cloud Data Flow vs Azure Data Factory | Mar 24, 2025 | Download |
Comparison | Spring Cloud Data Flow vs Informatica PowerCenter | Mar 24, 2025 | Download |
Comparison | Spring Cloud Data Flow vs Informatica Intelligent Data Management Cloud (IDMC) | Mar 24, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 3.9 | 4.8% | 93% | 182 interviewsAdd to research |
Azure Data Factory | 4.0 | 10.0% | 92% | 90 interviewsAdd to research |
Spring Cloud Data Flow excels in scalability, allowing for horizontal expansion and multiple instances across various servers. Users benefit from integrating with platforms such as PCF that support seamless scaling. Companies utilize its capabilities by deploying multiple microservices, enhancing flexibility and capacity as demands grow. Currently, small teams use it effectively, with plans to expand its usage in the future.