Docker Machine vs Contiv | What are the differences? | StackShare

Contiv vs Docker Machine

Overview

Docker Machine

Stacks429

Followers518

Votes12

Contiv

Stacks7

Followers9

Votes0

GitHub Stars518

Forks181

Docker Machine vs Contiv: What are the differences?

Docker Machine: Machine management for a container-centric world. Machine lets you create Docker hosts on your computer, on cloud providers, and inside your own data center. It creates servers, installs Docker on them, then configures the Docker client to talk to them; Contiv: An Open Source Container Networking. It is a powerful, 100% open source networking solution for modern compute workloads. Integration and support for VM’s and Bare Metal allow you to provide a single network fabric across your infrastructure.

Docker Machine and Contiv belong to "Container Tools" category of the tech stack.

Docker Machine and Contiv are both open source tools. It seems that Docker Machine with 5.51K GitHub stars and 1.6K forks on GitHub has more adoption than Contiv with 454 GitHub stars and 171 GitHub forks.

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Detailed Comparison

Docker Machine	Contiv
Machine lets you create Docker hosts on your computer, on cloud providers, and inside your own data center. It creates servers, installs Docker on them, then configures the Docker client to talk to them.	It is a powerful, 100% open source networking solution for modern compute workloads. Integration and support for VM’s and Bare Metal allow you to provide a single network fabric across your infrastructure.
-	Rich Policy Framework; Multi-Platforms; Multi-Infrastructure; Networking Support
Statistics
GitHub Stars -	GitHub Stars 518
GitHub Forks -	GitHub Forks 181
Stacks 429	Stacks 7
Followers 518	Followers 9
Votes 12	Votes 0
Pros & Cons
Pros 12 Easy docker hosts management	No community feedback yet
Integrations
Docker	Red Hat OpenShift Amazon S3 Kubernetes Docker

What are some alternatives to Docker Machine, Contiv?

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.