Spring Boot vs. Spring Cloud Data Flow vs. Spring Framework vs. iSpring Flip 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.

iSpring Flip converts your Word, PDF, and PowerPoint files into mobile-ready HTML5 books. It helps you create interactive catalogs, eye-catching brochures, online magazines, and textbooks with a minimum of fuss. iSpring Flip keeps your fonts and images sharp and clear, and books look perfect on iPads and other high-res devices. You can add links to your website or useful resources to your document. All links will work after it’s converted to an e-book. iSpring Flip keeps the original document’s aspect ratios, so you can use both portrait and landscape page orientation. You can open and flip through a book in a snap, even if it’s a thousand-page encyclopedia. iSpring Flip optimizes book loading, so each page opens instantly while you read. Use the preview feature before publishing a book and see how it will look on tablets, phones, and computers.