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  1. Stackups
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  4. Virtual Machine Platforms And Containers
  5. Docker vs Docker Compose

Docker vs Docker Compose

OverviewDecisionsComparisonAlternatives

Overview

Docker
Docker
Stacks194.2K
Followers143.8K
Votes3.9K
Docker Compose
Docker Compose
Stacks22.3K
Followers16.5K
Votes501
GitHub Stars36.4K
Forks5.5K

Docker vs Docker Compose: What are the differences?

Introduction

Docker and Docker Compose are powerful tools used in the field of containerization. While they both serve different purposes within the containerization ecosystem, they are often used together to optimize the management and deployment of applications. This Markdown code will provide a concise comparison of the key differences between Docker and Docker Compose.

  1. Orchestration Capabilities: Docker is primarily used for creating, packaging, and running individual containers. It focuses on containerization at the single-container level. On the other hand, Docker Compose is designed for multi-container applications and provides orchestration capabilities, allowing users to define and manage multiple containers as a single entity.

  2. Configuration Options: Docker uses Dockerfiles to define container configurations. These Dockerfiles comprise instructions that build, configure, and run containers. Docker Compose, on the other hand, uses a declarative YAML file that allows users to define and manage multi-container applications using a higher-level syntax. This approach simplifies the management of complex application configurations.

  3. Scalability: Docker allows users to scale containers independently. With Docker Compose, scaling multiple containers can be achieved, but it has limitations compared to more sophisticated orchestration tools like Docker Swarm or Kubernetes. Docker Swarm provides built-in scaling capabilities and handles service discovery and load balancing, making it suitable for scaling large-scale applications.

  4. Service Discovery: Docker has a built-in DNS service discovery mechanism, which allows containers to communicate with each other using container names. Docker Compose leverages this service discovery mechanism, but it also provides user-defined networks that facilitate container communication and make it easier to manage complex inter-container dependencies.

  5. Environment Variables: Docker allows users to define environment variables at the container level using the -e flag while running containers. Docker Compose extends this functionality by allowing users to define environment variables within the Compose file itself. These variables can be used to configure container-specific settings or to pass dynamic values to containers during runtime.

  6. Ease of Use and Portability: Docker Compose simplifies the deployment process by allowing users to define a complete application stack with a single command. This makes it easy to share and replicate application environments across different systems. Docker, on the other hand, provides more flexibility but requires users to manage containers individually, making it less portable.

In Summary, Docker is focused on containerization at the single-container level, while Docker Compose is designed for managing multi-container applications and provides orchestration capabilities. Docker Compose simplifies the process of defining and managing multi-container applications, making it more suitable for complex deployments.

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Advice on Docker, Docker Compose

Florian
Florian

IT DevOp at Agitos GmbH

Oct 22, 2019

Decided

lxd/lxc and Docker aren't congruent so this comparison needs a more detailed look; but in short I can say: the lxd-integrated administration of storage including zfs with its snapshot capabilities as well as the system container (multi-process) approach of lxc vs. the limited single-process container approach of Docker is the main reason I chose lxd over Docker.

483k views483k
Comments
Ryan
Ryan

Jan 24, 2020

Needs advice

GitHub is used for version control as it is a standard. GitHub is also chosen due to familiarity and additional features, such as projects, milestones, and issues.

Docker's Docker Compose is used to containerize the application, for making it easy to set up developer environments.

Google Analytics is used for tracking, especially due to the fact that it is integrated with Firebase as they are both Google products.

18.2k views18.2k
Comments

Detailed Comparison

Docker
Docker
Docker Compose
Docker Compose

The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere

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.

Integrated developer tools; open, portable images; shareable, reusable apps; framework-aware builds; standardized templates; multi-environment support; remote registry management; simple setup for Docker and Kubernetes; certified Kubernetes; application templates; enterprise controls; secure software supply chain; industry-leading container runtime; image scanning; access controls; image signing; caching and mirroring; image lifecycle; policy-based image promotion
-
Statistics
GitHub Stars
-
GitHub Stars
36.4K
GitHub Forks
-
GitHub Forks
5.5K
Stacks
194.2K
Stacks
22.3K
Followers
143.8K
Followers
16.5K
Votes
3.9K
Votes
501
Pros & Cons
Pros
  • 823
    Rapid integration and build up
  • 692
    Isolation
  • 521
    Open source
  • 505
    Testa­bil­i­ty and re­pro­ducibil­i­ty
  • 460
    Lightweight
Cons
  • 8
    New versions == broken features
  • 6
    Unreliable networking
  • 6
    Documentation not always in sync
  • 4
    Moves quickly
  • 3
    Not Secure
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
Integrations
Java
Java
VirtualBox
VirtualBox
Linux
Linux
Amazon EC2 Container Service
Amazon EC2 Container Service
Docker Swarm
Docker Swarm
boot2docker
boot2docker
Kubernetes
Kubernetes
Docker Machine
Docker Machine
Vagrant
Vagrant
Google Kubernetes Engine
Google Kubernetes Engine
No integrations available

What are some alternatives to Docker, Docker Compose?

Kubernetes

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

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

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

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

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.

LXD

LXD

LXD isn't a rewrite of LXC, in fact it's building on top of LXC to provide a new, better user experience. Under the hood, LXD uses LXC through liblxc and its Go binding to create and manage the containers. It's basically an alternative to LXC's tools and distribution template system with the added features that come from being controllable over the network.

Codefresh

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.

LXC

LXC

LXC is a userspace interface for the Linux kernel containment features. Through a powerful API and simple tools, it lets Linux users easily create and manage system or application containers.

CAST.AI

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

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.

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