# Apache Airflow

**Source:** https://www.startuphub.ai/startups/apache-airflow
**Profile type:** Startup

> Open-source platform for programmatically authoring, scheduling, and monitoring data pipelines.

## About

Apache Airflow is an open-source workflow management platform for data engineering pipelines. It allows users to programmatically author, schedule, and monitor workflows, with tasks defined as Directed Acyclic Graphs (DAGs) in Python. Airflow is widely adopted by data engineers, data scientists, and MLOps teams for automating complex workflows, orchestrating machine learning tasks, and managing cloud-native operations.

## Key facts

- **Slug:** apache-airflow
- **Website:** https://airflow.apache.org/
- **Founded:** 2014-10-01
- **Operating status:** Active
- **Sectors / tags:** MLOps, DataOps, Workflow Automation, Scheduling System, Data Engineering, Open Source, Developer Tools, API Platform, Enterprise Software, AI Infrastructure, Orchestration, Data Orchestration, Infrastructure as Code, Scheduling, Data Platform, Analytics Platform
- **Social:**
  - GitHub: https://github.com/apache/airflow

## Frequently asked

### What does Apache Airflow do?

Apache Airflow is an open-source workflow management platform for data engineering pipelines. It allows users to programmatically author, schedule, and monitor workflows, with tasks defined as Directed Acyclic Graphs (DAGs) in Python. Airflow is widely adopted by data engineers, data scientists, and MLOps teams for automating complex workflows, orchestrating machine learning tasks, and managing cloud-native operations.

### When was Apache Airflow founded?

Apache Airflow was founded in 2014.

### What industry does Apache Airflow operate in?

Apache Airflow operates in MLOps, DataOps, Workflow Automation, Scheduling System, Data Engineering, Open Source.

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