Grails vs. JSDefender vs. JavaScript vs. Spring Cloud Data Flow Comparison Chart

Cutting-edge JavaScript obfuscation techniques with control-flow flattening, tamper detection and other in-app protection transforms. We would not send our own unprotected code to a remote service controlled by third parties and we would not expect you to either. JSDefender supports major JavaScript frameworks, runtimes, and bundlers including Angular, Node, React, React Native, Webpack and others. Unlike languages like .NET and Java that are compiled to intermediate, stack-based assembly instructions before being distributed in binary form, JavaScript apps are typically distributed in source form. This means that your code is directly visible to anyone with access to the execution environment (like a browser). So, potential attackers can very easily step through the running code using a debugger built into their browser, or use other tools to statically analyze the code for vulnerabilities.

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.