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  5. Apache Beam vs Github Actions

Apache Beam vs Github Actions

OverviewDecisionsComparisonAlternatives

Overview

Apache Beam
Apache Beam
Stacks183
Followers361
Votes14
GitHub Actions
GitHub Actions
Stacks48.2K
Followers3.1K
Votes27

Apache Beam vs Github Actions: What are the differences?

Apache Beam and Github Actions are two popular technologies used in the software development and data processing fields. Below are the key differences between Apache Beam and Github Actions:

  1. Use Case: Apache Beam is primarily used for parallel data processing tasks such as ETL (Extract, Transform, Load) whereas Github Actions is focused on automating software workflows, mainly for building, testing, and deploying code.

  2. Programming Language Support: Apache Beam supports multiple programming languages such as Java, Python, and Go for writing data processing pipelines, while Github Actions uses YAML syntax for defining workflows and does not natively support writing code in multiple languages.

  3. Execution Environment: Apache Beam pipelines can be run on various distributed processing backends like Apache Flink, Apache Spark, Google Cloud Dataflow, etc., while Github Actions runs workflows within the Github ecosystem without the need for external distributed processing platforms.

  4. Cost and Scalability: Apache Beam offers better cost efficiency and scalability for processing large volumes of data as it can leverage cloud resources flexibly, while Github Actions may have limitations in terms of scalability and may incur costs based on resource usage.

  5. Integration and Collaboration: Github Actions seamlessly integrates with Github repositories, allowing for easy collaboration among team members on code workflows, whereas Apache Beam focuses more on data processing tasks and may require additional tools for collaborative development.

  6. Community and Support: Apache Beam has a dedicated community of data engineers and developers working on data processing solutions, while Github Actions benefits from the broader Github community for support, resources, and integration with other tools and services.

In Summary, Apache Beam is more suited for data processing tasks with scalability and diverse language support, while Github Actions is tailored for automating software development workflows within the Github ecosystem with a focus on collaboration and integration capabilities.

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Advice on Apache Beam, GitHub Actions

Somnath
Somnath

Engineering Leader at Altimetrik Corp.

Jun 25, 2020

Needs adviceonCircleCICircleCIDrone.ioDrone.ioGitHub ActionsGitHub Actions

I am in the process of evaluating CircleCI, Drone.io, and GitHub Actions to cover my #CI/ #CD needs. I would appreciate your advice on comparative study w.r.t. attributes like language-Inclusive support, code-base integration, performance, cost, maintenance, support, ease of use, ability to deal with big projects, etc. based on actual industry experience.

Thanks in advance!

1.82M views1.82M
Comments

Detailed Comparison

Apache Beam
Apache Beam
GitHub Actions
GitHub Actions

It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.

It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.

-
Multiple workflow files support; Free and open source; Workflow run interface; Search for actions in GitHub Marketplace; Integrated with Github's Checks API; Logs and artifacts downloading support
Statistics
Stacks
183
Stacks
48.2K
Followers
361
Followers
3.1K
Votes
14
Votes
27
Pros & Cons
Pros
  • 5
    Cross-platform
  • 5
    Open-source
  • 2
    Portable
  • 2
    Unified batch and stream processing
Pros
  • 8
    Integration with GitHub
  • 5
    Free
  • 3
    Ready actions in Marketplace
  • 3
    Easy to duplicate a workflow
  • 2
    Configs stored in .github
Cons
  • 5
    Lacking [skip ci]
  • 4
    Lacking allow failure
  • 3
    Lacking job specific badges
  • 2
    No ssh login to servers
  • 1
    No Deployment Projects
Integrations
No integrations available
GitHub
GitHub

What are some alternatives to Apache Beam, GitHub Actions?

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.

GoCD

GoCD

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.

Airflow

Airflow

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.

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.

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