Docker Compose vs dockerized

Overview

Docker Compose

Stacks22.3K

Followers16.5K

Votes501

GitHub Stars36.4K

Forks5.5K

dockerized

Stacks21

Followers22

Votes0

GitHub Stars63

Forks5

Docker Compose vs dockerized: What are the differences?

Developers describe Docker Compose as "Define and run multi-container applications with Docker". 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. On the other hand, dockerized is detailed as "Seamlessly execute commands in a container". It is a tool for seamlessly executing commands in a container. It takes care of the details so you can run a command in a container as if it was running on your machine - just prepend any command with dockerized exec to have it run in the container.

Docker Compose and dockerized can be primarily classified as "Container" tools.

Docker Compose and dockerized are both open source tools. Docker Compose with 19.4K GitHub stars and 3.09K forks on GitHub appears to be more popular than dockerized with 28 GitHub stars and 2 GitHub forks.

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Detailed Comparison

Docker Compose	dockerized
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.	It is a tool for seamlessly executing commands in a container. It takes care of the details so you can run a command in a container as if it was running on your machine - just prepend any command with dockerized exec to have it run in the container.
-	Cli; Docker; Build tool
Statistics
GitHub Stars 36.4K	GitHub Stars 63
GitHub Forks 5.5K	GitHub Forks 5
Stacks 22.3K	Stacks 21
Followers 16.5K	Followers 22
Votes 501	Votes 0
Pros & Cons
Pros 123 Multi-container descriptor 110 Fast development environment setup 79 Easy linking of containers 68 Simple yaml configuration 60 Easy setup Cons 9 Tied to single machine 5 Still very volatile, changing syntax often	No community feedback yet
Integrations
Docker	Docker

What are some alternatives to Docker Compose, dockerized?

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 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.

Kitematic

Simple Docker App management for Mac OS X

Related Comparisons

Docker Compose vs dockerized