Run history
Pass / fail / skip counts and timings you can scan in seconds.
Use case
dbt failure triage
Failed models and tests, grouped — not twenty Slack pings.
The problem
Overnight dbt fails. CI is red. Twelve models skip. Eight tests fail. Slack lights up. Everyone digs logs. Leadership still sees yesterday’s numbers.
The outcome
Upload a run artifact or connect a webhook. VectorData surfaces failed models, failed tests, diffs vs the last good run, and one alert for the blast radius.
run_results.json
In-browser analyzer — no warehouse rows
Diffs
What broke vs the last good run
Calm routing
One alert per upstream root cause
Capabilities
Model + test failures
Names, statuses, and duration — the short list of what to fix first.
Pipeline map
See where the failure sits in lineage so you don’t chase a child model.
Command center
Same view as freshness and cost — one place for the morning check.
- ✓Works from a pasted artifact before any BigQuery credentials exist
- ✓Pro and above include dbt run & test failure monitoring
- ✓Demo walkthrough: watch a broken run in /app?demo=1
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