Spring Boot vs. Spring Cloud Data Flow vs. Spring Framework vs. Emburse SpringAhead 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.

Emburse brings together some of the world’s most powerful and trusted financial automation solutions. As part of our product portfolio, Emburse SpringAhead carries a promise to humanize work while delivering time tracking, expense, and client invoicing solutions for federal contracting firms. We know that data integrity is the backbone of your business operations. Rather than using third-party integration applications, SpringAhead built SpringConnect - our integration engine for delivering payables and receivables into your financial systems. SpringConnect dynamically deliver time, expense, and invoice data to all versions of QuickBooks. It also integrates seamlessly with Bill.com, your recruiting platform and/or payroll system for additional tracking and payment.