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Apache Airflow

Platform to programmatically author and schedule workflows

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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

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.

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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.

KData & Analytics

Event-driven orchestration with declarative workflows

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MData & Analytics

Data pipeline tool for transforming and integrating data

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MData & Analytics

Open-source data integration built on Singer

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SData & Analytics

Simple cloud ETL for replicating data to warehouses

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HData & Analytics

No-code data pipeline platform

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MData & Analytics

Data productivity cloud for warehouse transformations

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