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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Docker Compose vs Nomad

Docker Compose vs Nomad

OverviewComparisonAlternatives

Overview

Docker Compose
Docker Compose
Stacks22.3K
Followers16.5K
Votes501
GitHub Stars36.4K
Forks5.5K
Nomad
Nomad
Stacks256
Followers344
Votes32
GitHub Stars15.9K
Forks2.0K

Docker Compose vs Nomad: What are the differences?

Introduction

In this article, we will discuss the key differences between Docker Compose and Nomad. Both Docker Compose and Nomad are container orchestration tools that help in managing and deploying containers, but they have distinct features and functionalities that set them apart.

  1. Orchestration Capabilities: Docker Compose is primarily focused on defining and running multi-container applications, providing a simple and easy-to-use way to define services, networks, and volumes. It is suitable for local development and single-host deployments. On the other hand, Nomad is a more robust and scalable orchestrator that can handle complex deployments across multiple hosts and supports various scheduling algorithms. It offers advanced features like task grouping, service discovery, and dynamic port allocation, making it suitable for large-scale production deployments.

  2. Container Runtimes: Docker Compose is tightly integrated with Docker Engine, the popular container runtime. It relies on Docker images and requires Docker Engine to be installed on the host system. Nomad, on the other hand, is a flexible orchestrator that supports multiple container runtimes, including Docker, rkt, and others. It can work with different container runtimes depending on the specific requirements of the deployment.

  3. Multi-Cloud Support: Nomad has built-in support for multi-cloud and multi-region deployments. It can seamlessly span across different cloud providers and handle workload distribution based on resource availability and constraints. Docker Compose, on the other hand, is more focused on local development and single-host deployments, lacking built-in support for multi-cloud environments.

  4. Integrated Networking and Service Discovery: Docker Compose provides an easy way to define and manage networks and services within a single host. It simplifies the intercommunication between containers using network aliases and automatic DNS resolution. Nomad also offers networking capabilities and service discovery, but its focus is more on cross-host communication and handling complex network topologies.

  5. Integration with Cluster Managers: Nomad is part of the HashiCorp ecosystem and integrates well with other HashiCorp tools like Consul and Vault. It leverages Consul for service discovery and integrates with Vault for secrets management. Docker Compose, on the other hand, is a standalone tool mainly designed for managing Docker containers and does not offer built-in integrations with other cluster managers or service discovery tools.

  6. Community and Adoption: Docker Compose has gained significant popularity and has a large community of users and contributors. It is widely adopted and well-documented, with extensive resources available for support and troubleshooting. Nomad, although less popular than Docker Compose, has been gaining traction in the container orchestration space, especially for large-scale deployments and hybrid cloud environments. It has an active community and growing adoption.

In summary, Docker Compose is ideal for local development and single-host deployments, providing a simple way to define and run multi-container applications. Nomad, on the other hand, is a more robust and scalable orchestrator suitable for large-scale production deployments, with support for multi-cloud environments, diverse container runtimes, and advanced scheduling capabilities.

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Detailed Comparison

Docker Compose
Docker Compose
Nomad
Nomad

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.

Nomad is a cluster manager, designed for both long lived services and short lived batch processing workloads. Developers use a declarative job specification to submit work, and Nomad ensures constraints are satisfied and resource utilization is optimized by efficient task packing. Nomad supports all major operating systems and virtualized, containerized, or standalone applications.

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Handles the scheduling and upgrading of the applications over time; With built-in dry-run execution, Nomad shows what scheduling decisions it will take before it takes them. Operators can approve or deny these changes to create a safe and reproducible workflow; Nomad runs applications and ensures they keep running in failure scenarios. In addition to long-running services, Nomad can schedule batch jobs, distributed cron jobs, and parameterized jobs; Stream logs, send signals, and interact with the file system of scheduled applications. These operator-friendly commands bring the familiar debugging tools to a scheduled world
Statistics
GitHub Stars
36.4K
GitHub Stars
15.9K
GitHub Forks
5.5K
GitHub Forks
2.0K
Stacks
22.3K
Stacks
256
Followers
16.5K
Followers
344
Votes
501
Votes
32
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
  • 7
    Built in Consul integration
  • 6
    Easy setup
  • 4
    Bult-in Vault integration
  • 3
    Built-in federation support
  • 2
    Self-healing
Cons
  • 3
    Easy to start with
  • 1
    HCL language for configuration, an unpopular DSL
  • 1
    Small comunity
Integrations
Docker
Docker
Consul
Consul
Docker
Docker
Vault
Vault

What are some alternatives to Docker Compose, Nomad?

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.

Apache Mesos

Apache Mesos

Apache Mesos is a cluster manager that simplifies the complexity of running applications on a shared pool of servers.

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.

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