Google BigQuery

Freshness and cost signals from BigQuery metadata — never your result rows.

The problem

BigQuery is where the numbers live, but INFORMATION_SCHEMA and job stats are underused until something breaks or the invoice spikes.

The outcome

VectorData connects with a read-only service account, watches last-modified and job statistics, and turns them into calm freshness and cost alerts.

INFORMATION_SCHEMA

Last-modified & table signals

JOBS

Bytes billed for cost spikes

No rows

Result sets stay in your project

Capabilities

Per-table thresholds on the datasets that feed leadership dashboards.

Unusual bytes billed called out with enough context to assign an owner.

See who burned what — pair with playbooks for partition filters and clustering.

Documented service-account onboarding — roughly fifteen minutes.

dbt Core & Cloud

Failed models and tests, grouped — not twenty Slack pings overnight.

Slack alerts

One calm alert per root cause — routed where your team already works.

Snowflake

Freshness SLAs on Snowflake marts — same calm Watchdog queue as BigQuery + dbt.

Looker

Watch the BigQuery marts behind Looker before explores lie.