Destinations / Warehouses

G

Google BigQuery

Stream source data into the client's warehouse on a schedule.

BetaScheduled pushWarehouses

Why agencies use this

The client's analytics team has their own stack. Write GA4, Ads, and Shopify into their BigQuery dataset every 15 minutes so their analysts query Arlo data in dbt like they do everything else.

How it works

Scheduled push — ARLO writes rows on a schedule you pick

ARLO queries your connected sources and writes the result into the destination. Pick metrics, pick dimensions, pick cadence — 15 min, hourly, daily, or on-demand.

  • Service-account or OAuth authentication per destination
  • Incremental loads where possible; full refresh otherwise
  • Failed runs surface in the audit log with retry metadata

Connect Google BigQuery to a client

Pick sources, pick cadence, done. Runs inside your ARLO workspace with the client's scope locked.

Open in ARLO →

Works with every ARLO source

Any platform you've connected — GA4, Google Ads, Search Console, Meta, Shopify, custom REST — can flow into Google BigQuery. You pick which metrics and dimensions per sync. Browse all sources →

Other warehouses destinations

SSnowflakeComing soonAAmazon RedshiftWaitlistDDatabricksWaitlist