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  1. Stackups
  2. DevOps
  3. Build Automation
  4. Java Build Tools
  5. Apache Maven vs Docker Compose

Apache Maven vs Docker Compose

OverviewComparisonAlternatives

Overview

Apache Maven
Apache Maven
Stacks3.4K
Followers1.7K
Votes414
GitHub Stars4.8K
Forks2.8K
Docker Compose
Docker Compose
Stacks22.3K
Followers16.5K
Votes501
GitHub Stars36.4K
Forks5.5K

Apache Maven vs Docker Compose: What are the differences?

<Apache Maven and Docker Compose are popular tools used in software development for managing dependencies and building and deploying applications. Apache Maven is a build automation tool primarily used for Java projects, while Docker Compose is a tool for defining and running multi-container Docker applications. Here are the key differences between Apache Maven and Docker Compose.>

  1. Dependency Management: Apache Maven focuses on managing project dependencies and building projects based on a Project Object Model (POM) file. It downloads dependencies from repositories and ensures that the project is built successfully with all necessary dependencies. On the other hand, Docker Compose does not deal with dependency management but is used for defining and running multi-container Docker applications for easier deployment and management.

  2. Build vs. Deployment: Apache Maven is primarily used for building projects by compiling source code, running tests, and packaging the application into distributable formats. It helps in creating artifacts that can be deployed to servers or repositories. Docker Compose, on the other hand, is used for defining the services, networks, and volumes for a multi-container Docker application and deploying them as isolated containers on a Docker host.

  3. Language Support: Apache Maven is specifically designed for Java projects and manages dependencies, builds, and configurations related to Java applications. It is tailored to work seamlessly with Java projects. Docker Compose, on the other hand, is language-agnostic and can be used to define and run multi-container applications regardless of the programming language used in the project.

  4. Isolation vs. Orchestration: Docker Compose focuses on container orchestration by defining how multiple containers interact with each other to run a complex application. It handles the configuration and deployment of interconnected containers. Apache Maven, on the other hand, deals with building and managing project dependencies within a single project, focusing more on the build process and artifact creation rather than orchestration of multiple components.

  5. Environment vs. Infrastructure: Apache Maven deals with the development environment by managing project dependencies, building artifacts, and facilitating project development. It streamlines the development process within a project. Docker Compose, on the other hand, focuses on managing the infrastructure for running multi-container applications, handling networking, volumes, and container orchestration to ensure smooth deployment and operation of the application in a production environment.

  6. Tool Ecosystem: Apache Maven has a rich ecosystem of plugins and integrations that extend its functionality for different use cases, such as code quality checks, reporting, and deployment to various environments. Docker Compose, while a powerful tool for container orchestration, is often used in conjunction with other Docker tools like Docker Swarm or Kubernetes for scaling and managing containers in production environments.

In Summary, Apache Maven and Docker Compose serve different purposes in the software development lifecycle, with Apache Maven focusing on building projects and managing dependencies, while Docker Compose is used for defining and orchestrating multi-container applications for deployment.

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Detailed Comparison

Apache Maven
Apache Maven
Docker Compose
Docker Compose

Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects.

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.

Simple project setup that follows best practices - get a new project or module started in seconds;Consistent usage across all projects means no ramp up time for new developers coming onto a project;Superior dependency management including automatic updating, dependency closures (also known as transitive dependencies);Able to easily work with multiple projects at the same time;A large and growing repository of libraries and metadata to use out of the box, and arrangements in place with the largest Open Source projects for real-time availability of their latest releases;Extensible, with the ability to easily write plugins in Java or scripting languages;Instant access to new features with little or no extra configuration;Ant tasks for dependency management and deployment outside of Maven
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Statistics
GitHub Stars
4.8K
GitHub Stars
36.4K
GitHub Forks
2.8K
GitHub Forks
5.5K
Stacks
3.4K
Stacks
22.3K
Followers
1.7K
Followers
16.5K
Votes
414
Votes
501
Pros & Cons
Pros
  • 138
    Dependency management
  • 70
    Necessary evil
  • 60
    I’d rather code my app, not my build
  • 48
    Publishing packaged artifacts
  • 43
    Convention over configuration
Cons
  • 6
    Complex
  • 1
    Inconsistent buillds
  • 0
    Not many plugin-alternatives
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
No integrations available
Docker
Docker

What are some alternatives to Apache Maven, 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.

Gradle

Gradle

Gradle is a build tool with a focus on build automation and support for multi-language development. If you are building, testing, publishing, and deploying software on any platform, Gradle offers a flexible model that can support the entire development lifecycle from compiling and packaging code to publishing web sites.

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.

Bazel

Bazel

Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google's software, and thus it has been designed to handle build problems present in Google's development environment.

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.

Pants

Pants

Pants is a build system for Java, Scala and Python. It works particularly well for a source code repository that contains many distinct projects.

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.

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