Azure Functions vs. DBOS vs. JavaScript vs. OpenShift Cloud Functions Comparison Chart

A simpler, more secure way to build fault-tolerant cloud applications, powered by the revolutionary cloud-native DBOS operating system. Based on 3 years of joint MIT-Stanford open source R&D, DBOS revolutionizes cloud-native architecture. DBOS is a cloud-native OS that builds on a relational database to radically simplify today's complex cloud application stacks. DBOS powers DBOS Cloud, a transactional serverless platform that provides fault-tolerance, observability, cyber-resilience, and easy cloud deployment to stateful TypeScript applications. OS services are implemented on top of a distributed DBMS. Built-in transactional, fault-tolerant state management that simplifies the stack, with no need for containers, cluster management, or workflow orchestration. Seamless scaling, high performance, and high availability. Metrics, logs, and traces are stored in SQL-accessible tables. Smaller cyber attack surface, cyberattack self-detection, and cyber-resilience.

Red Hat Openshift Cloud Functions (OCF) is a FaaS - Function as a Service that can be deployed on Openshift and is based out of Knative a FaaS project in the Kubernetes community. It will enable developers to run code without needing to know anything about the underlying platform specifics. Developers need access to services faster, deploying backend services, platforms or applications can be time-consuming and tedious. This also means developers should not be restricted to any certain language or framework but also to create business value quickly and enhance services by way of FaaS i.e. Function as a Service that can scale a small unit of custom code while depending on other third-party/backend services. Serverless is an architectural model that provides an event-driven way to implement distributed applications that can auto-scale on demand.