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  3. Task Scheduling
  4. Workflow Manager
  5. Airflow vs Beamer

Airflow vs Beamer

OverviewDecisionsComparisonAlternatives

Overview

Airflow
Airflow
Stacks1.7K
Followers2.8K
Votes128
Beamer
Beamer
Stacks14
Followers17
Votes0

Airflow vs Beamer: What are the differences?

## Introduction

## Key Differences between Airflow and Beamer

1. **Architecture**: Airflow uses Directed Acyclic Graphs (DAGs) to define and execute workflows, while Beamer is a LaTeX document class used for creating presentations. Airflow is designed for orchestrating complex workflows with dependencies and scheduling, while Beamer focuses on creating visually appealing slides for presentations.
   
2. **Functionality**: Airflow serves as a platform for workflow automation and scheduling tasks, supporting various integrations and plugins for extensibility. On the other hand, Beamer is solely focused on providing tools for creating slides, offering features like themes, overlays, and animations for presentations.
   
3. **Community**: Airflow has a large and active community of users and contributors, providing support, sharing best practices, and developing new features and integrations. Beamer, being a tool within the LaTeX ecosystem, benefits from the wealth of resources and expertise available for LaTeX users, although its community may not be as specific or dedicated as Airflow's.
   
4. **Learning Curve**: Airflow may have a steeper learning curve for beginners due to its complex architecture and concepts like DAGs, operators, and sensors. In contrast, Beamer is relatively straightforward for users familiar with LaTeX, as it utilizes LaTeX syntax and commands for creating slides, making it more accessible to those already comfortable with LaTeX typesetting.
   
5. **Purpose**: The primary purpose of Airflow is workflow orchestration and automation, focusing on managing and monitoring tasks and dependencies within a workflow. Beamer, on the other hand, is specifically designed for creating visually appealing presentations, leveraging LaTeX's typesetting capabilities to produce professional-looking slides.
   
6. **Flexibility**: Airflow offers flexibility in defining workflows through Python code, allowing for custom logic, integrations, and extensibility through plugins. Beamer, while providing customization options through LaTeX commands, may have limitations compared to the programmability and flexibility of Airflow for complex workflow automation tasks.

In Summary, the key differences between Airflow and Beamer lie in their architecture, functionality, community support, learning curve, purpose, and flexibility, distinguishing them as tools for workflow automation and presentation design, respectively.

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Advice on Airflow, Beamer

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.

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Comments

Detailed Comparison

Airflow
Airflow
Beamer
Beamer

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.

Use Beamer to announce new features, your latest releases, and relevant news. Improve user engagement with a quick and easy changelog.

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.
Share posts with text, images and videos. Share your latest updates with your users using text, images, videos and gifs; Post scheduling; User segmentation; Push notifications; Feedback and reactions; Customize your design; Standalone / public page; Embeddable widget.
Statistics
Stacks
1.7K
Stacks
14
Followers
2.8K
Followers
17
Votes
128
Votes
0
Pros & Cons
Pros
  • 53
    Features
  • 14
    Task Dependency Management
  • 12
    Cluster of workers
  • 12
    Beautiful UI
  • 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
No community feedback yet
Integrations
No integrations available
WordPress
WordPress
ActiveCampaign
ActiveCampaign
Intercom
Intercom
Mailchimp
Mailchimp
Drift
Drift
Buffer
Buffer

What are some alternatives to Airflow, Beamer?

OneSignal

OneSignal

OneSignal is a high volume push notification service for websites and mobile applications. OneSignal supports all major native and mobile platforms by providing dedicated SDKs for each platform, a RESTful server API, and a dashboard.

GitHub Actions

GitHub Actions

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.

Apache Beam

Apache Beam

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

Zenaton

Zenaton

Developer framework to orchestrate multiple services and APIs into your software application using logic triggered by events and time. Build ETL processes, A/B testing, real-time alerts and personalized user experiences with custom logic.

Luigi

Luigi

It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Unito

Unito

Build and map powerful workflows across tools to save your team time. No coding required. Create rules to define what information flows between each of your tools, in minutes.

PushCrew

PushCrew

PushCrew enables any website to send push notifications to their users (even when they are not on the website). A simple JavaScript code makes it working on any website in less than 2 minutes. It's a fantastic new alternative to email marketing.

Shipyard

Shipyard

na

saastoast

saastoast

Saastoast sends real-time push notifications for key SaaS events, trial signups, upgrades, feature usage, churn risks, and more, keeping founders motivated and customer-centric by showing momentum as it happens.

Wonderpush

Wonderpush

It is a push notifications platform for Web and Mobile. It is very fast, GDPR compliant and full-featured. It supports all major native mobile and web platforms, provides a RESTful API and an online dashboard to design notifications and analyze their impact.

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