Use Cases

Schedule, backfill, automate, and scale data pipelines declaratively

Version-control, test, and deploy dbt models with GitOps and on-demand compute

Run microservice tasks in response to events, recover from failures, and scale as needed

Provision resources, manage builds, and scale infrastructure workflows

Integrate Human-in-the-Loop approvals into critical steps of automated workflows

Automate, schedule and scale Python workflows in a declarative way