pike. The tables match the Power BI connector: projects, phases, tasks, time entries, members, teams, customers, deals, invoices, expenses, allocations, and time off.
Connect Data warehouse sync
- Go to Workspace settings → Integrations → Data warehouse sync.
- Click Add integration and choose BigQuery or Snowflake.
- For BigQuery, connect with a service account. For Snowflake, connect with a key-pair user.
What syncs
Pike writes these tables into thepike schema every hour.
Schema changes
Schema changes are additive: Pike adds tables and columns and does not drop them. Thepike_sync_log table records each run.
Disconnect
Disconnecting stops the hourly sync and leaves thepike schema and its data in your warehouse.
Permissions
Pike writes with the service account or key-pair user you provide. Access to thepike schema is managed in your warehouse.
Limits
- Destinations are Google BigQuery and Snowflake.
- The sync runs every hour.
- Pike writes to the
pikeschema only.
Related
- Data warehouse sync overview: Destinations, tables, and FAQs.
- Power BI: The Pike connector with scheduled refresh.
- Looker Studio: The Pike partner connector.
- Open API: Read Pike data from your own code.
