Why VectorData
Connect. Know what's broken. Go back to work.
A short pipeline for lean teams: connect what matters, watch it with AI, alert calmly, and leave with a fix path — not a giant observability platform.
Four steps. One afternoon.
AI spots the break — what to fix first.
Then you get your morning back.
How it works.
Connect → monitor → alert → playbook. Same command center end to end.
- 01Start setup →
Connect
Start from the in-browser demo, upload a dbt run artifact, or attach a least-privilege BigQuery service account. Metadata only — rows stay in your warehouse.
- 02Open command center →
Monitor
Freshness thresholds on tables you choose, dbt run and test status, and BigQuery job cost baselines — in one command center with AI Watchdog.
- 03See dbt triage →
Alert
AI groups by root cause and blast radius. One notification when something needs a human — not a Slack storm for every child model.
- 04See cost spikes →
Playbook
Cost playbooks, fix-first ordering, and optional human audit so you leave with an owner and a next step — not just a red badge.
The difference
One calm alert, not twenty notifications.
VectorData groups by root cause and blast radius. When orders goes stale, you get one message — not a Slack storm for every downstream model.
Security
Metadata only. Rows never leave BigQuery.
Table timestamps, dbt artifacts, job statistics — never row samples. Least-privilege service account. Revoke anytime.
Read the security model →Try it, then decide
Run the demo in your browser, or start self-serve setup in about three minutes.
Need hands-on help? Data Stack Health Audit ($1,500–$2,500) → credited toward Managed.