Kate vs. SlickEdit vs. Spring Cloud Data Flow vs. Spring Tools 4 Comparison Chart

Kate is packed with features that will make it easier for you to view and edit all your text files. Kate lets you to edit and view many files at the same time, both in tabs and split views, and comes with a wide variety of plugins, including an embedded terminal that lets you launch console commands directly from Kate, powerful search and replace plugins, and a preview plugin that can show you what your MD, HTML and even SVG will look like. Kate supports highlighting for over 300 languages making it easier to read code in almost all programming languages. Kate also understands how brackets works and will help you navigate inside complex code blocks hierarchies. On-the-fly spellchecking is also included and will help you check your text before publishing. Work on multiple files at the same time with split views. Use the project sidebar to navigate your project directory structures and use Kate's smart tabs to quickly access your recently opened documents.

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.