# Apache Airflow

Apache Airflow is an open-source platform for programmatically authoring, scheduling and monitoring workflows. Workflows are defined as DAGs, and a scheduler runs tasks on an array of workers. It is a project of the Apache Software Foundation under the Apache License 2.0, and it is often used to process real-time data in batches although it is not a streaming system. It runs ML and AI workloads through a growing set of providers.

Page: https://slateindex.ai/brand/apache-airflow · data of 2026-11-02

## Facts

- Founded: 2015
- Headquarters: Wilmington, Delaware
- Company type: Open source project
- Deployment: Self-hosted, installed via PyPI as the apache-airflow package or deployed from Docker images.
- Best for: Teams that run both data engineering and data science workflows and want to define them in Python.

## Products

- Apache Airflow: Open-source workflow platform in which workflows are defined as DAGs, with an API server, scheduler, DAG processor and metadata database.
- Common AI provider: Provider launched April 14, 2026, adding LLM and agent support; reached version 1.0 on October 19, 2026.

## Rankings

| Category | Rank | Visibility | Mentions |
|---|---|---|---|
| MLOps Platforms | 18 of 61 | 5.2 | 10 |

## By engine

| Engine | Visibility | Mention rate |
|---|---|---|
| chatgpt | 5.9 | 14.8% |
| google_ai_mode | 4.3 | 11.1% |
| perplexity | 5.6 | 11.1% |

## Definitions

- Visibility (0–100): how often and how high AI answers name the brand, weighted by position.
- Mention rate: share of collected AI answers that name the brand.
- Share of voice: the brand's mentions as a share of all brand mentions in the category.
- Citation authority: share of answers naming the brand that cite the brand's own site.

Cite as: SlateIndex, “Apache Airflow AI visibility profile”, https://slateindex.ai/brand/apache-airflow, data of 2026-11-02. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).