Event-driven orchestration with declarative workflows
Apache Airflow
Platform to programmatically author and schedule workflows
About Apache Airflow
Apache Airflow is a workflow orchestration platform built for data engineers who need to write pipelines as Python DAGs and schedule them at scale. It provides a huge operator ecosystem and clear execution history, so teams can standardize batch pipelines across teams handwritten cron and shell orchestration. The workflow keeps setup practical for everyday use, with documentation and integrations that fit existing stacks rather than forcing a complete replacement of tools a team already relies on daily.
Apache Airflow key facts
- Category: Data & Analytics
- Pricing: Free — listed in this directory as a free tool, with no paid plan required to use it.
- Focus areas: orchestration, pipelines, open source
- Official site: airflow.apache.org
About the Data & Analytics category
Analytics and BI platforms that turn raw data into clear insights. The Data & Analytics category on Tools Hub currently lists 712 tools. Alongside Apache Airflow, it includes Kestra, Mage, Meltano, Stitch.
More in Data & Analytics
Comparing tools in the Data & Analytics category? These related listings are worth a look: Kestra — Event-driven orchestration with declarative workflows; Mage — Data pipeline tool for transforming and integrating data; Meltano — Open-source data integration built on Singer.
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