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Apache Airflow

A platform to programmatically author, schedule, and monitor workflows.

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Overview

Apache Airflow is an open-source workflow management platform for data engineering pipelines. It started at Airbnb in October 2014 as a solution to manage the company's increasingly complex workflows. Airflow is written in Python, and workflows are created via Python scripts. It is designed under the principle of 'configuration as code'.

✨ Key Features

  • Dynamic pipeline generation using Python
  • Extensible with custom operators and executors
  • Scalable modular architecture
  • Rich user interface for visualizing pipelines
  • Wide range of integrations with third-party services

🎯 Key Differentiators

  • Large and active open-source community
  • Highly extensible and customizable
  • Mature and battle-tested

Unique Value: Provides a flexible and powerful open-source solution for orchestrating complex data workflows with a vast ecosystem of integrations.

🎯 Use Cases (4)

ETL/ELT pipelines Machine learning model training Infrastructure management Automating business processes

✅ Best For

  • Complex data pipeline orchestration
  • Scheduled data processing tasks

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Streaming data pipelines

🏆 Alternatives

Prefect Dagster AWS Step Functions

Offers more flexibility and a larger community than managed services, but requires more setup and maintenance.

💻 Platforms

Web API

🔌 Integrations

Google Cloud Platform Amazon Web Services Microsoft Azure Databricks Snowflake Kubernetes Docker

🛟 Support Options

  • ✓ Live Chat
  • ✓ Dedicated Support (NA tier)

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open source, self-hosted.

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