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.
Product | Market Share (%) |
---|---|
Spring Cloud Data Flow | 1.3% |
Informatica PowerCenter | 8.1% |
Azure Data Factory | 7.4% |
Other | 83.2% |
Type | Title | Date | |
---|---|---|---|
Category | Data Integration | Aug 29, 2025 | Download |
Product | Reviews, tips, and advice from real users | Aug 29, 2025 | Download |
Comparison | Spring Cloud Data Flow vs Azure Data Factory | Aug 29, 2025 | Download |
Comparison | Spring Cloud Data Flow vs SSIS | Aug 29, 2025 | Download |
Comparison | Spring Cloud Data Flow vs Informatica PowerCenter | Aug 29, 2025 | Download |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Databricks | 4.1 | N/A | 96% | 91 interviewsAdd to research |
Informatica Intelligent Data Management Cloud (IDMC) | 4.0 | 4.3% | 93% | 186 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.
Company Size | Count |
---|---|
Small Business | 3 |
Midsize Enterprise | 1 |
Large Enterprise | 5 |
Company Size | Count |
---|---|
Small Business | 85 |
Midsize Enterprise | 49 |
Large Enterprise | 360 |
Author info | Rating | Review Summary |
---|---|---|
Engineering Lead at Naukri.com | 4.0 | I work with a recruitment company in India, using Spring Cloud Data Flow for job application processing. It's beneficial for its automation and failure handling, but community support and Kubernetes integration need improvement due to limited resources and documentation challenges. |
Software Engineer at Tech Mahindra Limited | 3.5 | I use Spring Cloud Data Flow to transition from monolithic to microservices, scheduling tasks effectively. The dashboards and pipeline controls are valuable, though they need improvement. Despite limited documentation, it positively influences our company's revenue in finance management. |
Senior Software Engineer at QBE Regional Insurance | 4.5 | I used Spring Cloud Data Flow for integrating our payment platform, finding it easy to use and well-integrated with other cloud platforms. While it's user-friendly, improvement is needed in its online forums for better issue resolution. |
Cloud Application Architect at Lumen Technologies | 3.5 | I explored Spring Cloud Data Flow for building data pipelines in-house. Its standout feature is handling various batch data sources for processing and storing tasks. While not easy to use, I can't specify areas for improvement as I'm not an expert. |
Software engineer at Codinglama | 3.5 | I use Spring Cloud Data Flow for asynchronous workloads, benefiting from its simple programming model, integration, and auto-configuration. Improvements in the UI are needed, especially for Docker images, and more supported languages would be advantageous for broader usability. |
Solution Architect | R&D Lead at a computer software company with 51-200 employees | 4.0 | In our content management project, Spring Cloud Data Flow effectively unified and streamlined our processing pipeline. Key features included easy Kubernetes deployment and a user-friendly dashboard. Challenges like stuck pipelines occasionally required manual intervention. Overall, it improved cost efficiency and application reuse. |
Founder at Talkingdeal.com LLC | 4.5 | No summary available |
Senior Platform Associate L2 at a tech services company with 10,001+ employees | 3.5 | No summary available |