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

AWS CodeDeploy vs SVN (Subversion)

OverviewComparisonAlternatives

Overview

SVN (Subversion)
SVN (Subversion)
Stacks791
Followers629
Votes43
GitHub Stars614
Forks188
AWS CodeDeploy
AWS CodeDeploy
Stacks380
Followers624
Votes38

AWS CodeDeploy vs SVN (Subversion): What are the differences?

AWS CodeDeploy: Coordinate application deployments to Amazon EC2 instances. AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications; SVN (Subversion): Enterprise-class centralized version control for the masses. 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.

AWS CodeDeploy belongs to "Deployment as a Service" category of the tech stack, while SVN (Subversion) can be primarily classified under "Version Control System".

"Automates code deployments" is the primary reason why developers consider AWS CodeDeploy over the competitors, whereas "Easy to use" was stated as the key factor in picking SVN (Subversion).

SVN (Subversion) is an open source tool with 326 GitHub stars and 118 GitHub forks. Here's a link to SVN (Subversion)'s open source repository on GitHub.

According to the StackShare community, SVN (Subversion) has a broader approval, being mentioned in 77 company stacks & 58 developers stacks; compared to AWS CodeDeploy, which is listed in 57 company stacks and 14 developer stacks.

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Detailed Comparison

SVN (Subversion)
SVN (Subversion)
AWS CodeDeploy
AWS CodeDeploy

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.

AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications.

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AWS CodeDeploy fully automates your code deployments, allowing you to deploy reliably and rapidly;AWS CodeDeploy helps maximize your application availability by performing rolling updates across your Amazon EC2 instances and tracking application health according to configurable rules;AWS CodeDeploy allows you to easily launch and track the status of your deployments through the AWS Management Console or the AWS CLI;AWS CodeDeploy is platform and language agnostic and works with any application. You can easily reuse your existing setup code
Statistics
GitHub Stars
614
GitHub Stars
-
GitHub Forks
188
GitHub Forks
-
Stacks
791
Stacks
380
Followers
629
Followers
624
Votes
43
Votes
38
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
  • 17
    Automates code deployments
  • 9
    Backed by Amazon
  • 7
    Adds autoscaling lifecycle hooks
  • 5
    Git integration
Integrations
No integrations available
CircleCI
CircleCI
Codeship
Codeship
GitHub
GitHub
Jenkins
Jenkins
Solano CI
Solano CI
Travis CI
Travis CI
Amazon EC2
Amazon EC2
Ansible
Ansible
Chef
Chef
Puppet Labs
Puppet Labs

What are some alternatives to SVN (Subversion), AWS CodeDeploy?

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.

Octopus Deploy

Octopus Deploy

Octopus Deploy helps teams to manage releases, automate deployments, and operate applications with automated runbooks. It's free for small teams.

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.

Distelli

Distelli

Build, test, and deploy your code from GitHub and BitBucket (or no repository at all) to any server in the world regardless of provider. Distelli customers iterate and ship faster with complete transparency.

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.

Pijul

Pijul

Pijul is a free and open source (AGPL 3) distributed version control system. Its distinctive feature is to be based on a sound theory of patches, which makes it easy to learn and use, and really distributed.

Launchdeck

Launchdeck

Deploy code from git to your server the fast and easy way. Launchdeck is our answer to the complicated process of deployment. It’s an automated deployment tool with a super-clear user interface and various smart features.

Laravel Forge

Laravel Forge

Provision, host, and deploy PHP applications on AWS, DigitalOcean, and Linode.

DVC

DVC

It is an open-source Version Control System for data science and machine learning projects. It is designed to handle large files, data sets, machine learning models, and metrics as well as code.

Magit

Magit

It is an interface to the version control system Git, implemented as an Emacs package. It aspires to be a complete Git porcelain. While we cannot (yet) claim that it wraps and improves upon each and every Git command, it is complete enough to allow even experienced Git users to perform almost all of their daily version control tasks directly from within Emacs. While many fine Git clients exist, only deserve to be called porcelains.

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