Azure Spring Apps vs. Spring Cloud Data Flow vs. Spring Framework vs. Spring Tools 4 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.

Spring Tools 4 is the next generation of Spring tooling for your favorite coding environment. Largely rebuilt from scratch, it provides world-class support for developing Spring-based enterprise applications, whether you prefer Eclipse, Visual Studio Code, or Theia IDE. Tailored for developing enterprise applications using Spring Framework and Spring Boot, the new generation of Spring Tools provides world-class development support for your Spring applications. Our tools have deep knowledge of Spring built in. The all-new Spring Tools can be used in various coding environments, ranging from Eclipse as a full-featured integrated development environment to Visual Studio Code and Theia as lightweight code editors. Continue to use your preferred environment and add great Spring tooling to it. The new generation of Spring Tools is largely built from scratch, incorporating modern technologies and developer tooling architectures.