Spring Cloud Data Flow vs. Spring Framework vs. Tangle vs. python-sql Comparison Chart

Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.

Tangle enables organizations to build enterprise applications in hours with an intuitive open source platform offering reusable components, no-code drag-and-drop tools, secure architecture, and complete code extensibility. Ultimate low-code flexibility for all your workflow, automation, and integration requirements. Tangle believes a low-code platform is the best way for enterprises to develop applications at speed, on spec, and within budget. Tangle allows you to deliver enterprise value at speed, enabling you to efficiently build scalable, secure, enterprise-grade applications. Apps that you can quickly and easily design and deploy, to meet the needs and expectations of your user community. Focus on delivering organizational value fast. Tangle takes care of the architecture. Use our high-quality ready-made components or build your own, to deliver exactly what you need. Automate complex business processes with intuitive drag-and-drop workflows.