Struggling to choose between OpenFaas and Mesosphere DCOS? Both products offer unique advantages, making it a tough decision.
OpenFaas is a Development solution with tags like serverless, functions, autoscaling, automated-deployment.
It boasts features such as Serverless functions, Auto-scaling, Multiple language support (Node.js, Python, Ruby, C#, etc), Open source, CLI for easy deployment, Prometheus metrics, Works with Docker & Kubernetes and pros including Easy and fast to deploy functions, Scales automatically based on load, No servers to manage, Pay only for what you use, Integrates well with Docker and Kubernetes.
On the other hand, Mesosphere DCOS is a Network & Admin product tagged with container, orchestration, distributed, scalable.
Its standout features include Distributed systems management, Container orchestration, Service discovery and load balancing, Scalable and resilient architecture, Multi-tenant resource sharing, Built-in monitoring and logging, CLI and GUI for management, Integrations with popular frameworks like Kubernetes and Marathon, and it shines with pros like Highly scalable and resilient, Efficient resource utilization, Simplified deployment and management, Open source and customizable, Supports modern containerized workloads, Integrated monitoring and logging, Active community and ecosystem.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
OpenFaas is an open source framework for building serverless functions. It has advanced functionality for auto-scaling and automated deployment of functions.
Mesosphere DCOS is an open source distributed operating system based on Apache Mesos that manages computer clusters and facilitates container orchestration and services using Marathon, Kubernetes, DC/OS itself. It provides resource efficiency, scalability, and ease of management for distributed workloads.