Apache Airflow
NewOpen-source platform to programmatically author, schedule, and monitor workflows.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- Apache Airflow ranks #18 of 61 in MLOps Platforms with an AI visibility score of 5.2 (SlateIndex, Nov 2, 2026).
- Apache Airflow is most visible on ChatGPT (5.9) and least on Google AI Mode (4.3).
- AI engines name Apache Airflow in 6 of the 29 MLOps Platforms buyer prompts SlateIndex tracks.
- amazon.com is the source AI engines cite most in answers about Apache Airflow, with 7 citations.
About
Company details for 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. It ranks #18 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 5.2 in the latest weekly run.
Founded in 2015 and headquartered in Wilmington, Delaware, the company employs an undisclosed number of people. Its differentiator: workflows are authored in Python as DAGs, with a debugging web UI and a large operator ecosystem.
- Website
- apache.org
- Categories
- MLOps Platforms
- Headquarters
- Wilmington, Delaware
- Founded
- 2015
- Company type
- Open source project
- Deployment
- Self-hosted, installed via PyPI as the apache-airflow package or deployed from Docker images.
- Integrations
- 98+ native
Read from automationatlas.io, en.wikipedia.org, g2.com, github.com, capterra.ca, airflow.apache.org · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.
AI mentions & citations
Recent answers that name Apache Airflow
How much does Apache Airflow cost?
Apache Airflow is free and open-source.
How much does Apache Airflow cost?
Apache Airflow itself is an open-source tool licensed under the Apache License 2.0, meaning the software costs $0 to download, self-host, and run.
How much does Apache Airflow cost?
Apache Airflow itself is free and open source under the Apache 2.0 license.
What should an MLOps platform integrate with?
ETL/ELT: dbt, Airflow, Fivetran
How do companies deploy and monitor machine learning models without a dedicated tool?
What should an MLOps platform integrate with?
Workflow orchestration: Airflow, Kubeflow, Dagster, or similar tools for training, evaluation, batch inference, and retraining.
What is the difference between an MLOps platform and a data science platform?
Typical Tools: MLflow, Kubeflow, BentoML, Airflow, Docker, Kubernetes, and enterprise cloud monitoring services.
What should an MLOps platform integrate with?
CI/CD and Orchestration Pipelines: Hooks into orchestration and CI/CD tools (like Apache Airflow, Kubeflow, Prefect, or Jenkins) to automate data ingestion, model training, evaluation, and deployment triggers.
Products & features
What Apache Airflow sells
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.
Strengths engines cite
- free and open-source under Apache 2.0 license
- recommended as orchestration in practical vendor-neutral stacks
Funding & recent developments
Funding
| Latest known round | Total raised |
|---|---|
| — | — |
Recent developments
- Oct 2026ProductCommon AI provider reaches version 1.0
Common AI provider reached version 1.0.
- Sep 2026ProductAirflow 3.3.2 released
Latest announced release of Apache Airflow.
- Jul 2026ProductAirflow 3.3.0 released
Release adding a task state store and a Java and Go task SDK.
- Apr 2026ProductCommon AI provider launched
Provider adding LLM and agent support to Airflow.
- Apr 2026ProductAirflow 3.2.0 released
Release adding asset partitioning and multi-team deployments.
Competitive landscape
How Apache Airflow compares with its top three alternatives
Apache Airflow most often appears alongside Google Vertex AI, MLflow, AWS in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| Apache Airflow | 5.2% | 1.5% | New | Pricing not available |
| Google Vertex AI | 33.1% | 7.2% | New | Pricing not available |
| MLflow | 50.9% | 9.7% | New | Pricing not available |
| AWS | 35.7% | 7.5% | New | Pricing not available |
| Kubeflow | 20.1% | 5.8% | New | Pricing not available |
What AI answers say
Sentiment and themes from the answers that mention this brand
Positive 40% · Neutral 60% · Mixed 0% of 5 engine answers that mention Apache Airflow
Praised for
- free and open-source under Apache 2.0 license
- recommended as orchestration in practical vendor-neutral stacks
Criticised for
Cite as: SlateIndex, “Apache Airflow AI visibility profile”, https://slateindex.ai/brand/apache-airflow, data of Nov 2, 2026. Licence: CC BY 4.0.