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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Continuous Deployment
  5. DeployBot vs Git

DeployBot vs Git

OverviewDecisionsComparisonAlternatives

Overview

DeployBot
DeployBot
Stacks90
Followers92
Votes74
Git
Git
Stacks343.6K
Followers184.2K
Votes6.6K
GitHub Stars57.1K
Forks26.9K

DeployBot vs Git: What are the differences?

Developers describe DeployBot as "Instantly deploy from Github, Bitbucket, or Gitlab without complex scripts, commands or configs". DeployBot makes it simple to deploy your work anywhere. You can compile or process your code in a Docker container on our infrastructure, and we'll copy it to your servers once everything has been successfully built. On the other hand, Git is detailed as "Fast, scalable, distributed revision control system". 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.

DeployBot can be classified as a tool in the "Continuous Deployment" category, while Git is grouped under "Version Control System".

"Easy setup" is the primary reason why developers consider DeployBot over the competitors, whereas "Distributed version control system" was stated as the key factor in picking Git.

Git is an open source tool with 28.2K GitHub stars and 16.3K GitHub forks. Here's a link to Git's open source repository on GitHub.

Netflix, reddit, and Lyft are some of the popular companies that use Git, whereas DeployBot is used by Sellsuki, Edify, and dvel Inc. Git has a broader approval, being mentioned in 3932 company stacks & 4776 developers stacks; compared to DeployBot, which is listed in 37 company stacks and 6 developer stacks.

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Advice on DeployBot, Git

Kamaldeep
Kamaldeep

CEO at Zhoustify Agency

Nov 13, 2020

Decided

SVN is much simpler than git for the simple stuff (checking in files and updating them when everyone's online), and much more complex than git for the complicated stuff (branching and merging). Or put another way, git's learning curve is steep up front, and then increases moderately as you do weird things; SVN's learning curve is very shallow up front and then increases rapidly.

If you're storing large files, if you're not branching, if you're not storing source code, and if your team is happy with SVN and the workflow you have, I'd say you should stay on SVN.

If you're writing source code with a relatively modern development practice (developers doing local builds and tests, pre-commit code reviews, preferably automated testing, preferably some amount of open-source code), you should move to git for two reasons: first, this style of working inherently requires frequent branching and merging, and second, your ability to interact with outside projects is easier if you're all comfortable with git instead of snapshotting the outside project into SVN.

83.3k views83.3k
Comments

Detailed Comparison

DeployBot
DeployBot
Git
Git

DeployBot makes it simple to deploy your work anywhere. You can compile or process your code in a Docker container on our infrastructure, and we'll copy it to your servers once everything has been successfully built.

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.

Manually deploy with a click in the app, automatically deploy on each push, or use deploy tags in a commit [deploy:production].;DeployBot gathers new and changed files from your repositories since the last deployment. You can even preview the changes first.;Files are uploaded, SSH commands are executed and deployment hooks are triggered. Everything is logged for you.;Your entire team can view release notes and optionally receive an email notification with details about the deployment status.;Environments overview;Deployments timeline;Deployment details: tickets, revisions & files
-
Statistics
GitHub Stars
-
GitHub Stars
57.1K
GitHub Forks
-
GitHub Forks
26.9K
Stacks
90
Stacks
343.6K
Followers
92
Followers
184.2K
Votes
74
Votes
6.6K
Pros & Cons
Pros
  • 26
    Easy setup
  • 20
    Seamless integrations
  • 17
    Free
  • 10
    Rocks
  • 1
    Docker
Cons
  • 1
    Not reliable
Pros
  • 1429
    Distributed version control system
  • 1053
    Efficient branching and merging
  • 959
    Fast
  • 843
    Open source
  • 726
    Better than svn
Cons
  • 16
    Hard to learn
  • 11
    Inconsistent command line interface
  • 9
    Easy to lose uncommitted work
  • 8
    Worst documentation ever possibly made
  • 5
    Awful merge handling
Integrations
Slack
Slack
HipChat
HipChat
New Relic
New Relic
Bugsnag
Bugsnag
DigitalOcean
DigitalOcean
No integrations available

What are some alternatives to DeployBot, Git?

Buddy

Buddy

Git platform for web and software developers with Docker-based tools for Continuous Integration and Deployment.

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.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

SVN (Subversion)

SVN (Subversion)

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 CodePipeline

AWS CodePipeline

CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.

Deployer

Deployer

A deployment tool written in PHP with support for popular frameworks out of the box

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.

Spinnaker

Spinnaker

Created at Netflix, it has been battle-tested in production by hundreds of teams over millions of deployments. It combines a powerful and flexible pipeline management system with integrations to the major cloud providers.

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.

Harness.io

Harness.io

It automates the entire CI/CD process, uses machine learning to protect you when deployments fail, equips you with enterprise-grade security, & simplifies cloud cost visibility, savings, & forecasting without any tagging requirements.

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