CodeRunner vs. Spring Cloud Data Flow vs. Spring Tools 4 vs. Textastic 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.

Textastic for Mac is the perfect desktop companion to the popular iOS code editor. With support for more than 80 source code and markup languages, Textastic brings the powerful syntax coloring engine of the iOS source code editor to the Mac. You can use your own TextMate, and Sublime Text, compatible syntax definitions. Textastic for Mac is based on the code editor that powers the iOS app. It uses native macOS APIs like Core Text for maximum speed. Code completion, file navigation with the symbol list and support for modern Mac features like Auto Save and Versions make your life easier. With iCloud Drive, you can sync your files across your macOS and iOS devices with ease. The app packs in support for 80 source code and markup languages, iCloud auto-save and macOS Versions. Built with the ability to import syntax definitions, themes and templates from TextMate.