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  1. Stackups
  2. DevOps
  3. Continuous Integration
  4. Continuous Integration
  5. Airflow vs GoCD

Airflow vs GoCD

OverviewDecisionsComparisonAlternatives

Overview

GoCD
GoCD
Stacks205
Followers325
Votes207
GitHub Stars7.3K
Forks980
Airflow
Airflow
Stacks1.7K
Followers2.8K
Votes128

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Advice on GoCD, Airflow

Mohammad Hossein
Mohammad Hossein

Chief Technology Officer at Planally

Apr 17, 2020

Needs adviceonDockerDocker

I'm open to anything. just want something that break less and doesn't need me to pay for it, and can be hosted on Docker. our scripting language is powershell core. so it's better to support it. also we are building dotnet core in our pipeline, so if they have anything related that helps with the CI would be nice.

545k views545k
Comments
Anonymous
Anonymous

Jan 19, 2020

Needs advice

I am so confused. I need a tool that will allow me to go to about 10 different URLs to get a list of objects. Those object lists will be hundreds or thousands in length. I then need to get detailed data lists about each object. Those detailed data lists can have hundreds of elements that could be map/reduced somehow. My batch process dies sometimes halfway through which means hours of processing gone, i.e. time wasted. I need something like a directed graph that will keep results of successful data collection and allow me either pragmatically or manually to retry the failed ones some way (0 - forever) times. I want it to then process all the ones that have succeeded or been effectively ignored and load the data store with the aggregation of some couple thousand data-points. I know hitting this many endpoints is not a good practice but I can't put collectors on all the endpoints or anything like that. It is pretty much the only way to get the data.

294k views294k
Comments

Detailed Comparison

GoCD
GoCD
Airflow
Airflow

GoCD is an open source continuous delivery server created by ThoughtWorks. GoCD offers business a first-class build and deployment engine for complete control and visibility.

Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.

Model complex workflows with dependency management and parallel execution; Easy to pass once-built binaries between stages; Visibility into your end-to-end workflow. Track a change from commit to deploy at a glance; Manual triggers allow deployment any version at anytime. And it's securable and auditable; Run tests written in most languages or frameworks, provides informative testing report; Compare both files and commit messages across any two arbitrary builds; Eliminate Bottlenecks by providing trivial parallel execution across pipelines, platforms, versions, branches, etc.; Easily reuse pipeline configurations via template system.
Dynamic: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writting code that instantiate pipelines dynamically.;Extensible: Easily define your own operators, executors and extend the library so that it fits the level of abstraction that suits your environment.;Elegant: Airflow pipelines are lean and explicit. Parameterizing your scripts is built in the core of Airflow using powerful Jinja templating engine.;Scalable: Airflow has a modular architecture and uses a message queue to talk to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity.
Statistics
GitHub Stars
7.3K
GitHub Stars
-
GitHub Forks
980
GitHub Forks
-
Stacks
205
Stacks
1.7K
Followers
325
Followers
2.8K
Votes
207
Votes
128
Pros & Cons
Pros
  • 32
    Open source
  • 27
    Pipeline dependencies
  • 25
    Pipeline structures
  • 22
    Can run jobs in parallel
  • 20
    Very flexible
Cons
  • 2
    Lack of plugins
  • 2
    Horrible ui
  • 1
    No support
Pros
  • 53
    Features
  • 14
    Task Dependency Management
  • 12
    Beautiful UI
  • 12
    Cluster of workers
  • 10
    Extensibility
Cons
  • 2
    Observability is not great when the DAGs exceed 250
  • 2
    Open source - provides minimum or no support
  • 2
    Running it on kubernetes cluster relatively complex
  • 1
    Logical separation of DAGs is not straight forward
Integrations
Docker
Docker
Kubernetes
Kubernetes
Slack
Slack
No integrations available

What are some alternatives to GoCD, Airflow?

Jenkins

Jenkins

In a nutshell Jenkins CI is the leading open-source continuous integration server. Built with Java, it provides over 300 plugins to support building and testing virtually any project.

Travis CI

Travis CI

Free for open source projects, our CI environment provides multiple runtimes (e.g. Node.js or PHP versions), data stores and so on. Because of this, hosting your project on travis-ci.com means you can effortlessly test your library or applications against multiple runtimes and data stores without even having all of them installed locally.

Codeship

Codeship

Codeship runs your automated tests and configured deployment when you push to your repository. It takes care of managing and scaling the infrastructure so that you are able to test and release more frequently and get faster feedback for building the product your users need.

CircleCI

CircleCI

Continuous integration and delivery platform helps software teams rapidly release code with confidence by automating the build, test, and deploy process. Offers a modern software development platform that lets teams ramp.

TeamCity

TeamCity

TeamCity is a user-friendly continuous integration (CI) server for professional developers, build engineers, and DevOps. It is trivial to setup and absolutely free for small teams and open source projects.

Drone.io

Drone.io

Drone is a hosted continuous integration service. It enables you to conveniently set up projects to automatically build, test, and deploy as you make changes to your code. Drone integrates seamlessly with Github, Bitbucket and Google Code as well as third party services such as Heroku, Dotcloud, Google AppEngine and more.

wercker

wercker

Wercker is a CI/CD developer automation platform designed for Microservices & Container Architecture.

Shippable

Shippable

Shippable is a SaaS platform that lets you easily add Continuous Integration/Deployment to your Github and BitBucket repositories. It is lightweight, super simple to setup, and runs your builds and tests faster than any other service.

Buildkite

Buildkite

CI and build automation tool that combines the power of your own build infrastructure with the convenience of a managed, centralized web UI. Used by Shopify, Basecamp, Digital Ocean, Venmo, Cochlear, Bugsnag and more.

Snap CI

Snap CI

Snap CI is a cloud-based continuous integration & continuous deployment tool with powerful deployment pipelines. Integrates seamlessly with GitHub and provides fast feedback so you can deploy with ease.

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