Apache Airflow

A platform created by community to programmatically author, schedule and monitor workflows.

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Airflow is a platform created by the community to programmatically author, schedule, and monitor workflows. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. Airflow pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Easily define your own operators and extend libraries to fit the level of abstraction that suits your environment. Airflow pipelines are lean and explicit. Parametrization is built into its core using the powerful Jinja templating engine. Use standard Python features to create your workflows, including date-time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows.
Apache

Screenshot & Video

1/3

LICENSING & DEPLOYMENT

  • On Premises
  • Web-based

Knowledge Base

  • Help Guides
  • Blogs
  • Case Studies
  • On-Site Training

Apache Airflow Core Features

Workflow Management

  • Access Controls
  • Business Process Automation
  • Compliance Tracking
  • Custom Dashboard
  • Document Management
  • Notifications & Reminders
  • Operations Management
  • Task Management
  • Workflow Configuration

Apache Airflow Pricing

Pricing Type

  • Free

Payment Frequency

  • Free

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