Consulting during deployment
Although the dmp.af library is excellent and easy to use solution, we are ready to provide consulting on its deployment.
Contact our teamDomain-Driven Architecture
Separate models by domain into different DAGs, run in parallel, perfect for data mesh architectures.
dbt-First Design
All configuration in dbt model configs. Analytics teams stay in dbt, no Airflow knowledge required.
Flexible Scheduling
Multiple schedules per model (@hourly, @daily, @weekly, @monthly, and more).
Enterprise Features
Multiple dbt targets, configurable test strategies, built-in maintenance, Kubernetes support.
Auto-Generated DAGs
Automatically creates Airflow DAGs from your dbt project, organized by domain and schedule. Handles dependencies across domains seamlessly.
Team-Friendly
Analytics teams stay in dbt. No Airflow DAG writing required. Infrastructure handled automatically.
Idempotent Runs
Each model is a separate Airflow task with date intervals passed to every run. Reliable backfills and reruns guaranteed.
“The dmp.af platform simply divided my life into before and after!”
— Everybody out there
