Astronomer, the company behind Astro, the leading unified DataOps platform powered by Apache Airflow®, today celebrated the release of Apache Airflow 3, the most significant evolution of the open ...

The open source Apache Airflow data orchestration technology is adding new features to help enterprises build better data pipelines and understand where data is coming from.

While customers really enjoy the pre-built integrations and familiar Python programming language of Apache Airflow, they want it without the added operational cost and complexity.

The report highlights three critical trends – rapid growth in Airflow adoption, increasing reliability of Airflow for mission-critical data delivery, and Airflow becoming the standard for AI pipelines ...

The new operators will help enterprises integrate Vertex AI’s generative AI models into data pipelines orchestrated by Apacher Airflow and its managed workflow orchestration service Cloud Composer.

Since Apache Airflow is an open-source tool, it plays an instrumental role in making data orchestration a reality by taking pain points away.

Astronomer has built a layer on top of the Airflow data platform, modifying an open source project, to make it run more efficiently.