Connect a warehouse sync
Sync events to Snowflake or BigQuery on a schedule.
You can automatically send your events to a data warehouse like Snowflake or BigQuery, keeping your analytics infrastructure in sync without manual exports. This is especially useful when you want to analyze booking patterns, track team capacity, or feed event data into downstream dashboards.
Warehouse syncs run on a schedule you choose — hourly, daily, or custom intervals — and only ship new events after the initial backfill, so you stay current without unnecessary compute costs.
Open Sources; warehouse syncs live alongside inbound sources.
Warehouse syncs are grouped with your other data sources, so you can manage all your integrations in one place.
Select Warehouse syncs.
Set the Destination and Schedule; frequent syncs keep the warehouse current.
Hourly syncs are a good default: they keep your warehouse fresh without the overhead of constant incremental updates.
Click Start sync; the first run backfills history, then incremental runs ship only new events.
The first sync backfills your entire event history into the warehouse, then every subsequent run only adds new events since the last sync.
What's next
Your warehouse now receives a steady stream of event data. Next, you can set up queries or dashboards in your warehouse to analyze booking trends, team utilization, or customer behavior.