Apache Airflow
Agent36Agent Readiness: 36/100. Below median. Measured by StartupHub.ai. Median 41.Trust88Data Trust: 88/100. Top 25%. Measured by StartupHub.ai. Median 61.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.
Listed competitors
Serverless workflow orchestration service for building and automating distributed applications and microservices.
“After trying multiple options to take AI agents to production, I decided to use one of my favorite cloud services, AWS Step Functions, for…” r/LLMDevs
An open-source orchestration platform for unifying data pipelines, AI workflows, and business processes.
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Public companies
AWS Step Functions provides a serverless workflow orchestration service that competes with Apache Airflow's capabilities for defining and managing data pipelines, particularly within the AWS ecosystem.
Competing product: AWS Step Functions
Google Cloud Composer is a managed Apache Airflow service that directly competes by providing a fully managed environment for running Airflow workflows on Google Cloud.
Competing product: Google Cloud Composer
Broadcom Automic Automation offers enterprise-grade workload automation and orchestration, competing with Apache Airflow in managing complex IT and data workflows across various systems.
Competing product: Broadcom Automic Automation
Key facts
- Website
- airflow.apache.org
- Founded
- 2014
- Business model
- Open Source
Tech stack
Detected on airflow.apache.org, last scanned 18 Oct 2026. Run your own scan
- Analytics
- Matomo
- Email provider
- Self-hosted
Apache Airflow scores 93. Does yours?
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5 reviews from Reddit gathered in one place
Apache Airflow has become the backbone of modern data orchestration. It schedules, monitors, and manages complex workflows across data pipelines, machine learning models, and ETL processes. But running Airflow in production is not a "set it…
Is Apache Airflow still the go-to tool for managing data pipelines?. Apache Airflow has been around for a while, but it still comes up constantly whenever teams talk about data orchestration, ETL pipelines, workflow automation, and producti…
Apache Airflow 3.2.0 is live. I think, it's time to start ETLs in Apache Airflow 3.2.0 . No more money to pay legacy ETL systems.
Apache Airflow best practices - AMA. We used to run airflow on a vertically scaled single instance. It was a nightmare. Given we run 100s of DAGs, we invested considerable amount of time to revamp. Here are a few learnings: Infrastructure A…
Apache Airflow sucks change my mind. I'm a Data Scientist and really want to learn Data Engineering. I have tried several tools like : Docker, Google Big Query, Apache Spark, Pentaho, PostgreSQL. I found Apache Airflow somewhat interesting…
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Frequently asked
Is Apache Airflow trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Apache Airflow is 88 out of 100, a trusted rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
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Confirmed customers of Apache Airflow.
Public record
SEC filings, insider activity, nonprofit links and pay benchmarks for Apache Airflow
