Astronomer
Connect DAGs running on Astronomer to the data assets, consumers, and business processes that depend on their output across the full platform.
Transformation & OrchestrationWhy Astronomer matters
Astronomer adds deployment management and observability on top of Airflow, but the core lineage gap remains: DAGs describe execution order, not data dependencies. Teams running Astronomer often have larger, more complex deployments spanning hundreds of DAGs across multiple environments, which makes the gap even more acute.
Typedef bridges execution graphs and data lineage across Astronomer deployments, so pipeline failures are scoped by business impact and root causes are traced across the full stack.
What Typedef unlocks
Root cause tracing across the stack
When a DAG fails in an Astronomer deployment, trace the issue to its actual origin across every system, not just within Airflow logs.
Blast radius for pipeline failures
See which dashboards, metrics, and consumers are affected by a failed or delayed DAG so engineers triage by business impact.
Orchestration-to-lineage bridge
Connect Astronomer execution graphs to the actual data dependencies each DAG touches across warehouses, transformations, and consumers.
DAG cleanup across deployments
Refactor, split, or retire DAGs across Astronomer deployments with full visibility into every data asset and consumer that depends on them.
Related integrations
Bridge the gap between execution order and data dependencies so pipeline failures are scoped by business impact.
Connect Dagster assets to every source, consumer, and BI tool outside its scope so the asset graph becomes a full-stack view.
Go beyond the DAG: trace every model through the full platform, not just the project.
See the full picture: what feeds every table and what depends on it across the stack.