Eclipse Dirigible vs. Eclipse Web Tools Platform (WTP) vs. JavaScript vs. Spring Cloud Data Flow Comparison Chart

The Eclipse Web Tools Platform (WTP) project extends the Eclipse platform with tools for developing Web and Java EE applications. It includes source and graphical editors for a variety of languages, wizards and built-in applications to simplify development, and tools and APIs to support deploying, running, and testing apps. The Libra project integrates the existing tooling provided by the Plug-in Development Environment project and the Web Tools Platform project to work together for implementing OSGi Enterprise scenarios. The JavaScript Development Tools provide plug-ins that implement an IDE supporting the development of JavaScript applications and JavaScript within web applications. It adds a JavaScript project type and perspective to the Eclipse Workbench as well as a number of views, editors, wizards, and builders.

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.