Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Apache Airflow: Art, Technology & Companies

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. Creating Airflow allowed Airbnb to programmatically author and schedule their workflows and monitor them via the built-in Airflow user interface. From the…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Apache Airflow topic overview

The analysis highlights Art, Technology and Companies as prominent areas in the source structure around Apache Airflow.

Related topics
19
Source areas
2
Connected nodes
21
Extracted relationships
31
Concept neighborhoods
16
Bridge connections
21

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 16 topics
Managed providers · 3 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
Apache Software Foundation
License
Apache License 2.0
Operating system
Linux, macOS
Original author
Maxime Beauchemin / Airbnb
Release
June 3, 2015; 11 years ago (2015-06-03)
Repository
github.com/apache/airflow

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Managed providers

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Apache Airflow connects Entity context

The extracted context around Apache Airflow shows recurring relationship patterns in the source. For example, Apache Airflow → Airflow, Amazon Web Services, Apache Airflow Job, Cloud Composer, Fabric, GCP, Google Cloud Platform, Managed Workflows, Microsoft Azure, Microsoft Fabric, November, SaaS, The Another extracted example is Apache Airflow → April, Bas, Data Pipelines, Harenslak, ISBN, Julian, Manning Publications, Ruiter. Use these groups to spot repeated connection types before inspecting the individual relationships.

Apache Airflow

Top relations

related to Managed providers · 13
Apache Airflow → Airflow, Amazon Web Services, Apache Airflow Job, Cloud Composer, Fabric, GCP, Google Cloud Platform, Managed Workflows, Microsoft Azure, Microsoft Fabric, November, SaaS, The
related to Further reading · 8
Apache Airflow → April, Bas, Data Pipelines, Harenslak, ISBN, Julian, Manning Publications, Ruiter
Developer · 1
Apache Airflow → Apache Software Foundation
License · 1
Apache Airflow → Apache License 2.0
Operating system · 1
Apache Airflow → Linux, macOS
Original author · 1
Apache Airflow → Maxime Beauchemin / Airbnb
Release · 1
Apache Airflow → June 3, 2015; 11 years ago (2015-06-03)
Repository · 1
Apache Airflow → github.com/apache/airflow
Stable release · 1
Apache Airflow → 3.3.0 (6 July 2026; 48 days ago (6 July 2026)) [±]
Type · 1
Apache Airflow → Workflow management platform

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

airflow workflows apache python workflow airbnb software data configuration managed platform written engineering via code management author foundation open-source dags

Apache Airflow relationships Subject–Predicate–Object triples

TTTA extracted 31 structured relationships around Apache Airflow. Examples in this analysis include Apache Airflow → Developer → Apache Software Foundation and Apache Airflow → License → Apache License 2.0. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Apache AirflowDeveloperApache Software Foundation1.00infobox
Apache AirflowLicenseApache License 2.01.00infobox
Apache AirflowOperating systemLinux, macOS1.00infobox
Apache AirflowOriginal authorMaxime Beauchemin / Airbnb1.00infobox
Apache AirflowReleaseJune 3, 2015; 11 years ago (2015-06-03)1.00infobox
Apache AirflowRepositorygithub.com/apache/airflow1.00infobox
Apache AirflowStable release3.3.0 (6 July 2026; 48 days ago (6 July 2026)) [±]1.00infobox
Apache AirflowTypeWorkflow management platform1.00infobox
Apache AirflowWebsiteairflow.apache.org1.00infobox
Apache AirflowWritten inPython1.00infobox
Apache Airflowrelated to Further readingHarenslak0.60section
Apache Airflowrelated to Further readingBas0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Apache Airflow bring nearby vocabulary together. In this analysis, examples include Software, Managed and Airflow. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Apache Airflow
    • Software
    • Managed
    • Airflow
    • Apache
    • Foundation
    • Management
    • Open
    • Open-source
    • Orchestration
    • Pipelines
    • Project
    • Providers
  • apache airflow
    • Software
    • Managed
    • Airflow
    • Apache
    • Foundation
    • Management
    • Open
    • Open-source
    • Orchestration
    • Pipelines
    • Project
    • Providers
  • workflow management platform
    • Platform
    • Software
    • Workflow
    • Managed
    • Author
    • Engineering
    • External
    • Foundation
    • Manage
    • Open-source
    • Orchestration
    • Pipelines
  • apache software foundation
    • Foundation
    • Software
    • Platform
    • Workflow
    • Managed
    • Airflow
    • External
    • Manage
    • Management
    • Open
    • Open-source
    • Orchestration
  • airbnb
    • Author
    • Manage
    • Workflows
    • External
    • Foundation
    • Management
    • Orchestration
    • Providers
    • Schedule
    • System
    • Via
    • Website
  • python
    • Written
    • Create
    • Like
    • System
    • Configuration
    • Dags
    • Workflow
    • Workflows
    • Xml
    • Code
    • Defined
    • External
  • managed providers
    • Orchestration
    • Services
    • Providers
    • Version
    • Platform
    • Source
    • System
    • Website
    • Software
    • Workflow
    • Written
    • External
  • google cloud platform
    • Software
    • Workflow
    • Managed
    • Author
    • External
    • Foundation
    • Manage
    • Orchestration
    • Pipelines
    • Providers
    • System
    • Version

Connections between topic areas Semantic bridges

For Apache Airflow, one of the stronger structural bridges in this analysis connects Apache Airflow with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Apache AirflowOverview · splits 5 ⟂ 17
Apache AirflowManaged providers · splits 18 ⟂ 4

Map overview Semantic statistics

Apache Airflow

Nodes22
Edges21
Triples31
Avg. degree1.91
Density0.090909
Components1

Source & methodology

TTTA analyzes the structure around Apache Airflow to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Technology & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Apache Airflow · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.