Cloud Composer is a fully managed workflow orchestration service that empowers you to author, schedule, and monitor pipelines that span across clouds and on-premises data centers. Built on the popular Apache Airflow open source project and operated using the Python programming language, Cloud Composer is free from lock-in and easy to use.

Cloud Composer pipelines are configured as directed acyclic graphs (DAGs) using Python, making it easy for users of any experience level to author and schedule a workflow. One-click deployment yields instant access to a rich library of connectors and multiple graphical representations of your workflow in action, increasing pipeline reliability by making troubleshooting easy. Automatic synchronization of your directed acyclic graphs ensures your jobs stay on schedule.

Cloud Composer is deeply integrated within the Google Cloud Platform, giving users the ability to orchestrate their full pipeline. Cloud Composer has robust, built-in integration with many products, including Google BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Datastore, Cloud Storage, Cloud Pub/Sub, and Cloud ML Engine.

Cloud Composer gives you the ability to connect your pipeline through a single orchestration tool whether your workflow lives on-premises, in multiple clouds, or fully within GCP. The ability to author, schedule, and monitor your workflows in a unified manner means you can break down the silos in your environment and focus less on infrastructure.

Cloud Composer is built on Apache Airflow, the popular open source orchestration tool. This open source project, which Google is contributing back into, provides freedom from lock in for customers as well as integration with a broad number of platforms, which will only expand as the Airflow community grows.