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

Airflow vs Jenkins

OverviewDecisionsComparisonAlternatives

Overview

Jenkins
Jenkins
Stacks59.2K
Followers50.4K
Votes2.2K
GitHub Stars24.6K
Forks9.2K
Airflow
Airflow
Stacks1.7K
Followers2.8K
Votes128

Airflow vs Jenkins: What are the differences?

Introduction

Airflow and Jenkins are both popular open-source platforms used for continuous integration and delivery (CI/CD) processes. While they have similar goals, there are key differences between these two platforms that make them suited for different use cases.

  1. Integration Capabilities: One key difference between Airflow and Jenkins is their integration capabilities. Airflow is designed to connect and manage data pipelines, supporting integration with a wide range of systems and platforms. On the other hand, Jenkins primarily focuses on integrating with software development tools and environments, such as version control systems and build tools.

  2. Workflow Orchestration: Another significant difference lies in their approach to workflow orchestration. Airflow is built around the concept of directed acyclic graphs (DAGs), allowing users to define and execute complex workflows with dependencies, scheduling, and parallelism. Jenkins, on the other hand, is more suited for simple linear workflows using pipelines, which are defined using Groovy-based scripts.

  3. Scalability and Performance: Airflow is known for its scalability and performance. It can handle large-scale data processing and scheduling, thanks to its distributed architecture and parallel execution capabilities. Jenkins, while capable of handling smaller-scale CI/CD processes, may struggle with scalability under heavy workloads.

  4. Monitoring and Alerting: When it comes to monitoring and alerting, Airflow provides a comprehensive set of features out of the box. It includes a web UI for monitoring pipeline executions, built-in logging, and the ability to trigger alerts based on different conditions. Jenkins, while it offers basic monitoring capabilities, may require additional plugins or configurations to achieve the same level of monitoring and alerting.

  5. Community and Ecosystem: Both Airflow and Jenkins have active communities and extensive ecosystems. However, Jenkins has been around for a longer time and has a more mature ecosystem with a vast number of plugins and integrations available. Airflow, although relatively newer, is gaining popularity rapidly and has a growing ecosystem with contributions from major organizations.

  6. Ease of Use and Learning Curve: Airflow has a steeper learning curve compared to Jenkins, mainly due to its complex DAG-based workflow definition approach. Jenkins, on the other hand, provides a simpler and more intuitive user interface for defining pipelines using its visual editor. This makes Jenkins a more beginner-friendly option for teams with limited experience in workflow management.

In summary, Airflow and Jenkins differ in terms of integration capabilities, workflow orchestration, scalability, monitoring, community/ecosystem, and ease of use. Understanding these key differences can help organizations choose the right tool that aligns with their specific needs and requirements.

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Advice on Jenkins, Airflow

Balaramesh
Balaramesh

Apr 20, 2020

Needs adviceonAzure PipelinesAzure Pipelines.NET.NETJenkinsJenkins

We are currently using Azure Pipelines for continous integration. Our applications are developed witn .NET framework. But when we look at the online Jenkins is the most widely used tool for continous integration. Can you please give me the advice which one is best to use for my case Azure pipeline or jenkins.

663k views663k
Comments
Teja
Teja

Jun 11, 2020

Needs adviceonAirflowAirflowJenkinsJenkins

I am looking for an open-source scheduler tool with cross-functional application dependencies. Some of the tasks I am looking to schedule are as follows:

  1. Trigger Matillion ETL loads
  2. Trigger Attunity Replication tasks that have downstream ETL loads
  3. Trigger Golden gate Replication Tasks
  4. Shell scripts, wrappers, file watchers
  5. Event-driven schedules

I have used Airflow in the past, and I know we need to create DAGs for each pipeline. I am not familiar with Jenkins, but I know it works with configuration without much underlying code. I want to evaluate both and appreciate any advise

2.73M views2.73M
Comments
StackShare
StackShare

Apr 17, 2019

Needs advice

From a StackShare Community member: "Currently we use Travis CI and have optimized it as much as we can so our builds are fairly quick. Our boss is all about redundancy so we are looking for another solution to fall back on in case Travis goes down and/or jacks prices way up (they were recently acquired). Could someone recommend which CI we should go with and if they have time, an explanation of how they're different?"

529k views529k
Comments

Detailed Comparison

Jenkins
Jenkins
Airflow
Airflow

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.

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.

Easy installation;Easy configuration;Change set support;Permanent links;RSS/E-mail/IM Integration;After-the-fact tagging;JUnit/TestNG test reporting;Distributed builds;File fingerprinting;Plugin Support
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
24.6K
GitHub Stars
-
GitHub Forks
9.2K
GitHub Forks
-
Stacks
59.2K
Stacks
1.7K
Followers
50.4K
Followers
2.8K
Votes
2.2K
Votes
128
Pros & Cons
Pros
  • 523
    Hosted internally
  • 469
    Free open source
  • 318
    Great to build, deploy or launch anything async
  • 243
    Tons of integrations
  • 211
    Rich set of plugins with good documentation
Cons
  • 13
    Workarounds needed for basic requirements
  • 10
    Groovy with cumbersome syntax
  • 8
    Plugins compatibility issues
  • 7
    Lack of support
  • 7
    Limited abilities with declarative pipelines
Pros
  • 53
    Features
  • 14
    Task Dependency Management
  • 12
    Cluster of workers
  • 12
    Beautiful UI
  • 10
    Extensibility
Cons
  • 2
    Open source - provides minimum or no support
  • 2
    Running it on kubernetes cluster relatively complex
  • 2
    Observability is not great when the DAGs exceed 250
  • 1
    Logical separation of DAGs is not straight forward

What are some alternatives to Jenkins, Airflow?

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.

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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