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  1. Stackups
  2. DevOps
  3. Version Control
  4. Version Control System
  5. Docker Compose vs SVN (Subversion)

Docker Compose vs SVN (Subversion)

OverviewComparisonAlternatives

Overview

SVN (Subversion)
SVN (Subversion)
Stacks791
Followers629
Votes43
GitHub Stars614
Forks188
Docker Compose
Docker Compose
Stacks22.3K
Followers16.5K
Votes501
GitHub Stars36.4K
Forks5.5K

Docker Compose vs SVN (Subversion): What are the differences?

Introduction: In the world of software development and project management, Docker Compose and SVN (Subversion) are two important tools that serve different purposes. Understanding the key differences between Docker Compose and SVN can help developers and teams choose the right tool for their projects.

  1. Architecture: Docker Compose is a tool used for defining and running multi-container Docker applications. It allows users to define the services, networks, and volumes in a single YAML file. On the other hand, SVN is a centralized version control system that stores files and directories in a central repository, allowing users to manage changes and revisions.

  2. Use Case: Docker Compose is primarily used for managing the deployment of containerized applications, providing an easy way to orchestrate multiple containers that work together. SVN, on the other hand, is used for version control and collaboration on files and projects, enabling multiple users to work on the same codebase simultaneously.

  3. Scalability: Docker Compose is well-suited for scaling containerized applications across multiple environments, making it easier to manage complex deployments. SVN, while capable of handling large codebases, may face scalability challenges in terms of managing branching and merging in larger projects.

  4. Dependencies: Docker Compose allows users to define dependencies between services and containers, ensuring that the necessary components are started in the right order. SVN, on the other hand, focuses on managing the dependencies and relationships between different versions of files and directories in a centralized repository.

  5. Collaboration: Docker Compose simplifies collaboration by providing a way to share and run container-based applications across different environments. SVN facilitates collaboration by allowing multiple developers to work on the same codebase, managing conflicts, and maintaining a history of changes.

  6. Workflow: Docker Compose streamlines the development workflow by enabling developers to define the infrastructure and services required for their applications in a single configuration file. SVN supports traditional version control workflows, allowing users to commit changes, create branches, and merge code efficiently.

In Summary, understanding the key differences between Docker Compose and SVN can help in choosing the right tool for managing containerized applications and version control in software development projects.

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Detailed Comparison

SVN (Subversion)
SVN (Subversion)
Docker Compose
Docker Compose

Subversion exists to be universally recognized and adopted as an open-source, centralized version control system characterized by its reliability as a safe haven for valuable data; the simplicity of its model and usage; and its ability to support the needs of a wide variety of users and projects, from individuals to large-scale enterprise operations.

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.

Statistics
GitHub Stars
614
GitHub Stars
36.4K
GitHub Forks
188
GitHub Forks
5.5K
Stacks
791
Stacks
22.3K
Followers
629
Followers
16.5K
Votes
43
Votes
501
Pros & Cons
Pros
  • 20
    Easy to use
  • 13
    Simple code versioning
  • 5
    User/Access Management
  • 3
    Complicated code versionioning by Subversion
  • 2
    Free
Cons
  • 7
    Branching and tagging use tons of disk space
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 SVN (Subversion), Docker Compose?

Git

Git

Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.

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.

Mercurial

Mercurial

Mercurial is dedicated to speed and efficiency with a sane user interface. It is written in Python. Mercurial's implementation and data structures are designed to be fast. You can generate diffs between revisions, or jump back in time within seconds.

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.

Plastic SCM

Plastic SCM

Plastic SCM is a distributed version control designed for big projects. It excels on branching and merging, graphical user interfaces, and can also deal with large files and even file-locking (great for game devs). It includes "semantic" features like refactor detection to ease diffing complex refactors.

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