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  1. Stackups
  2. Application & Data
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  4. Container Tools
  5. Docker Compose vs containerd

Docker Compose vs containerd

OverviewComparisonAlternatives

Overview

Docker Compose
Docker Compose
Stacks22.3K
Followers16.5K
Votes501
GitHub Stars36.4K
Forks5.5K
containerd
containerd
Stacks81
Followers140
Votes5

Docker Compose vs containerd: What are the differences?

Introduction

In the world of containerization, Docker Compose and containerd are two popular tools that serve different purposes. Understanding their key differences can help in determining which tool is most suitable for specific requirements.

  1. Orchestration vs. Runtime: Docker Compose focuses on orchestration and management of multi-container applications. It allows defining, running, and connecting multiple containers, while also providing support for scaling, networking, and service discovery. On the other hand, containerd is a container runtime that handles the low-level functionality of starting, running, and managing containers. It is primarily responsible for executing and supervising the lifecycle of containers.

  2. Granularity: Docker Compose operates at the application level, providing an abstraction layer to define and manage multiple containers as a cohesive unit. It allows specifying networks, services, volumes, and dependencies within a highly customizable configuration file. In contrast, containerd operates at the container level, focusing on the individual execution and management of containers. It provides functionalities such as container creation, starting, stopping, and destroying.

  3. Flexibility: Docker Compose offers a more flexible and declarative approach to describe complex application stacks. It supports various options for service configuration, including environment variables, resource limits, container dependencies, and network configurations. These capabilities enable developers to define complex multi-container environments using a simple and readable syntax. On the other hand, containerd is designed to be more lightweight and streamlined, prioritizing performance and simplicity over extensive configuration options.

  4. Integration: Docker Compose integrates seamlessly with the Docker Engine, which is responsible for building and running containers. It leverages the Docker CLI (Command Line Interface) to manage containers, networks, and volumes defined in the Compose file. Additionally, Docker Compose can take advantage of Docker Swarm mode for container orchestration in a clustered environment. Containerd, on the other hand, can be used as a backend for multiple container runtimes and container orchestrators, allowing for integration with various tools and platforms.

  5. Abstraction Level: Docker Compose provides a higher-level abstraction for managing containers, allowing users to focus on the application deployment and management rather than the underlying containerization technologies. It simplifies the process of defining and orchestrating multi-container applications, reducing the complexities of managing individual containers manually. In contrast, containerd operates at a lower-level, providing a more direct interaction with containers and their lifecycles. It exposes a set of APIs and command-line tools for fine-grained control and management.

  6. Community Support: Docker Compose has gained significant popularity and has a large community supporting it. This means extensive documentation, tutorials, examples, and third-party integrations are available. The community actively maintains and enhances Docker Compose, making it a reliable tool for container orchestration. Containerd also has a growing community but is more focused on container runtime capabilities rather than higher-level orchestration.

In summary, Docker Compose focuses on multi-container application orchestration and offers extensive configuration options, integration with Docker Engine, and a higher-level abstraction. On the other hand, containerd is a container runtime, prioritizing performance, simplicity, and flexibility across different container runtimes and orchestrators.

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Detailed Comparison

Docker Compose
Docker Compose
containerd
containerd

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.

An industry-standard container runtime with an emphasis on simplicity, robustness, and portability

-
OCI Image Spec support; OCI Runtime Spec support (aka runC); Image push and pull support; Container runtime and lifecycle support; Network primitives for creation, modification, and deletion of interfaces; Multi-tenant supported with CAS storage for global images; Management of network namespaces containers to join existing namespaces
Statistics
GitHub Stars
36.4K
GitHub Stars
-
GitHub Forks
5.5K
GitHub Forks
-
Stacks
22.3K
Stacks
81
Followers
16.5K
Followers
140
Votes
501
Votes
5
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
Pros
  • 3
    No Need for docker shim
  • 2
    Supports Kubernetes version greater than 1.21
  • 0
    No kubernetes support after 1.22
  • 0
    Needs docker shim to work on kubernetes
Integrations
Docker
Docker
No integrations available

What are some alternatives to Docker Compose, containerd?

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.

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.

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.

Flocker

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

Kitematic

Simple Docker App management for Mac OS X

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