Freshness after DAGs
Confirm tables actually moved.
Technology
Apache Airflow
Pair DAG failures with warehouse freshness and dbt health.
The problem
Airflow is green enough. The mart still lied. Two tools, no shared story.
The outcome
VectorData keeps the warehouse reliability story calm while orchestration does its job.
Warehouse
Truth layer
dbt
Transform health
1 queue
Morning check
Capabilities
dbt artifact triage
When transform steps fail.
Cost spikes
Jobs kicked by pipelines.
Integration leaf
/integrations/airflow
- ✓/integrations/airflow
- ✓/integrations/cloud-composer
- ✓Not a full Airflow APM — warehouse reliability wedge
- ✓Demo available
Related
Google BigQuery
Freshness and cost signals from BigQuery metadata — never your result rows.
Read →dbt Core & Cloud
Failed models and tests, grouped — not twenty Slack pings overnight.
Read →Slack alerts
One calm alert per root cause — routed where your team already works.
Read →Snowflake
Freshness SLAs on Snowflake marts — same calm Watchdog queue as BigQuery + dbt.
Read →