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GitHub Actions VS Apache Airflow

Compare GitHub Actions VS Apache Airflow and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

GitHub Actions logo GitHub Actions

Automate your workflow from idea to production

Apache Airflow logo Apache Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
  • GitHub Actions Landing page
    Landing page //
    2023-04-25
  • Apache Airflow Landing page
    Landing page //
    2023-06-17

GitHub Actions features and specs

  • Seamless GitHub Integration
    GitHub Actions are natively integrated with GitHub, making it easy to use within repositories and leverage other GitHub features such as issues, pull requests, and releases.
  • Custom Workflows
    Allows for the creation of complex and custom workflows using YAML syntax, providing flexibility to handle a variety of CI/CD processes.
  • Marketplace Access
    Access to GitHub Marketplace where a wide range of pre-built actions are available, allowing users to quickly set up workflows with minimal configuration.
  • Concurrent Execution
    Supports parallel execution of jobs, which can significantly reduce the time needed to run workflows by performing multiple tasks simultaneously.
  • Self-Hosted Runners
    Provides the ability to use self-hosted runners, offering more control over the environment and resources used for running workflows.
  • Cost-Efficient
    Includes a generous free tier, especially for public repositories, which can be cost-effective for projects with limited resource requirements.

Possible disadvantages of GitHub Actions

  • Complexity for Beginners
    Due to its powerful features and flexibility, setting up and managing GitHub Actions can be complex for users who are not familiar with CI/CD processes or YAML.
  • Limited to GitHub
    As a GitHub-specific product, GitHub Actions is tied to repositories hosted on GitHub, limiting its use for projects that are hosted on other version control platforms.
  • Billing for Additional Usage
    While there is a free tier, usage beyond the free limits incurs additional charges, which can become significant for high-frequency or resource-intensive workflows.
  • Resource Limitations
    GitHub Actions has limitations on available resources (such as CPU and memory) for runners, which can be restrictive for very resource-intensive tasks.

Apache Airflow features and specs

  • Scalability
    Apache Airflow can scale horizontally, allowing it to handle large volumes of tasks and workflows by distributing the workload across multiple worker nodes.
  • Extensibility
    It supports custom plugins and operators, making it highly customizable to fit various use cases. Users can define their own tasks, sensors, and hooks.
  • Visualization
    Airflow provides an intuitive web interface for monitoring and managing workflows. The interface allows users to visualize DAGs, track task statuses, and debug failures.
  • Flexibility
    Workflows are defined using Python code, which offers a high degree of flexibility and programmatic control over the tasks and their dependencies.
  • Integrations
    Airflow has built-in integrations with a wide range of tools and services such as AWS, Google Cloud, and Apache Hadoop, making it easier to connect to external systems.

Possible disadvantages of Apache Airflow

  • Complexity
    Setting up and configuring Apache Airflow can be complex, particularly for new users. It requires careful management of infrastructure components like databases and web servers.
  • Resource Intensive
    Airflow can be resource-heavy in terms of both memory and CPU usage, especially when dealing with a large number of tasks and DAGs.
  • Learning Curve
    The learning curve can be steep for users who are not familiar with Python or the underlying concepts of workflow management.
  • Limited Real-Time Processing
    Airflow is better suited for batch processing and scheduled tasks rather than real-time event-based processing.
  • Dependency Management
    Managing task dependencies in complex DAGs can become cumbersome and may lead to configuration errors if not properly handled.

GitHub Actions videos

+ Add

5 Ways to DevOps-ify your App - Github Actions Tutorial

More videos:

  • Review - Introducing GitHub Package Registry
  • Review - Automatic Deployment With Github Actions
  • Review - GitHub Actions - Now with built-in CI/CD! Live from GitHub HQ

Apache Airflow videos

+ Add

Airflow Tutorial for Beginners - Full Course in 2 Hours 2022

Category Popularity

0-100% (relative to GitHub Actions and Apache Airflow)

GitHub Actions

Apache Airflow

DevOps Tools
100 100%
DevOps Tools
0% 0
Workflow Automation
0 0%
Workflow Automation
100% 100
Continuous Integration
100 100%
Continuous Integration
0% 0
Automation
0 0%
Automation
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare GitHub Actions and Apache Airflow

GitHub Actions Reviews

Top 10 Most Popular Jenkins Alternatives for DevOps in 2024
GitHub Actions is the CI/CD solution that’s built into GitHub, the most popular version control platform. It’s specifically designed to provide an intuitive experience for developers who want to run pipelines quickly without having to configure any separate software. Because it’s a managed SaaS service that’s specifically focused on CI/CD, there are no self-hosting...
Source: spacelift.io

Apache Airflow Reviews

5 Airflow Alternatives for Data Orchestration
While Apache Airflow continues to be a popular tool for data orchestration, the alternatives presented here offer a range of features and benefits that may better suit certain projects or team preferences. Whether you prioritize simplicity, code-centric design, or the integration of machine learning workflows, there is likely an alternative that meets your needs. By...
Source: www.kdnuggets.com
Top 8 Apache Airflow Alternatives in 2024
Apache Airflow is a workflow streamlining solution aiming at accelerating routine procedures. This article provides a detailed description of Apache Airflow as one of the most popular automation solutions. It also presents and compares alternatives to Airflow, their characteristic features, and recommended application areas. Based on that, each business could decide which...
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
In a nutshell, you gained a basic understanding of Apache Airflow and its powerful features. On the other hand, you understood some of the limitations and disadvantages of Apache Airflow. Hence, this article helped you explore the best Apache Airflow Alternatives available in the market. So, you can try hands-on on these Airflow Alternatives and select the best according to...
Source: hevodata.com
A List of The 16 Best ETL Tools And Why To Choose Them
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows.
Source: www.datacamp.com
15 Best ETL Tools in 2022 (A Complete Updated List)
Apache Airflow programmatically creates, schedules and monitors workflows. It can also modify the scheduler to run the jobs as and when required.
Source: www.softwaretestinghelp.com

Social recommendations and mentions

Based on our record, GitHub Actions should be more popular than Apache Airflow. It has been mentiond 307 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

GitHub Actions mentions (307)

  • What tools can help streamline cloud deployment processes?
    If your code lives on GitHub (which it probably does), GitHub Actions should be your go-to for CI/CD. - Source: dev.to / 5 days ago
  • Getting started with FrankenPHP, Laravel and Docker
    My base target is used for development use, but my production target is used for production use. I'm using a GitHub Actions workflow to checkout my code, installing dependencies without development dependencies, and building my application. When that's done, I build the Docker image and send it to my container registry. - Source: dev.to / 18 days ago
  • Automating Voicebot Deployments for Amazon Connect
    In this post, I will share WebRTC.ventures' best practices in automating the deployment of AI-powered voice assistants for Amazon Connect, moving beyond manual, click-by-click setups to a robust, scalable Infrastructure as Code (IaC) approach. We’ll explore how to manage both static and dynamic resources, leverage tools like Terraform and AWS Serverless Application Model (SAM), and even set up an automated... - Source: dev.to / 25 days ago
  • Deploying a static Website with Pulumi
    The Python Pulumi code is deployed with GitHub Actions. This leverages static credentials for AWS embedded as repository secrets. I have implemented two workflows:. - Source: dev.to / about 1 month ago
  • As Visual Studio App Center closes, a look back, and what to use now?
    When Microsoft announced the App Center shutdown last year, they recommended an array of alternative tools from elsewhere in their developer toolkit and beyond to replace its capabilities. Users seeking an alternative to App Center's hosted build automation, or App Store deployment, capabilities can look to Azure DevOps Pipelines or GitHub Actions. For cloud-based on-device testing, they recommend external tool... - Source: dev.to / about 1 month ago
View more

Apache Airflow mentions (75)

  • The DOJ Still Wants Google to Sell Off Chrome
    Is this really true? Something that can be supported by clear evidence? I’ve seen this trotted out many times, but it seems like there are interesting Apache projects: https://airflow.apache.org/ https://iceberg.apache.org/ https://kafka.apache.org/ https://superset.apache.org/. - Source: Hacker News / 2 months ago
  • 10 Must-Know Open Source Platform Engineering Tools for AI/ML Workflows
    Apache Airflow offers simplicity when it comes to scheduling, authoring, and monitoring ML workflows using Python. The tool's greatest advantage is its compatibility with any system or process you are running. This also eliminates manual intervention and increases team productivity, which aligns with the principles of Platform Engineering tools. - Source: dev.to / 3 months ago
  • Data Orchestration Tool Analysis: Airflow, Dagster, Flyte
    Data orchestration tools are key for managing data pipelines in modern workflows. When it comes to tools, Apache Airflow, Dagster, and Flyte are popular tools serving this need, but they serve different purposes and follow different philosophies. Choosing the right tool for your requirements is essential for scalability and efficiency. In this blog, I will compare Apache Airflow, Dagster, and Flyte, exploring... - Source: dev.to / 4 months ago
  • AIOps, DevOps, MLOps, LLMOps – What’s the Difference?
    Data pipelines: Apache Kafka and Airflow are often used for building data pipelines that can continuously feed data to models in production. - Source: dev.to / 4 months ago
  • Data Engineering with DLT and REST
    This article demonstrates how to work with near real-time and historical data using the dlt package. Whether you need to scale data access across the enterprise or provide historical data for post-event analysis, you can use the same framework to provide customer data. In a future article, I'll demonstrate how to use dlt with a workflow orchestrator such as Apache Airflow or Dagster.``. - Source: dev.to / 5 months ago
View more

What are some alternatives?

When comparing GitHub Actions and Apache Airflow, you can also consider the following products

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

Make.com - Tool for workflow automation (Former Integromat)

GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

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