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If your data warehouse is your source of truth for product analytics, customer data, or both, Trig can connect directly to it rather than duplicating your pipeline. A single warehouse connection can power two pipelines simultaneously: events ingestion (user actions, transactions, feature usage) and attribute sync (person and organisation fields). Trig supports:
  • Snowflake: key pair (JWT) is the recommended authentication method. Programmatic Access Tokens (PAT) are also supported.
  • BigQuery: service account authentication via a JSON key. If your GCP organisation policy blocks the creation of downloadable service account keys, contact your Trig representative.
  • Databricks: workspace URL plus SQL warehouse, authenticated via a service principal token (recommended). Personal access tokens are also supported but tend to be tied to a real user, so we discourage them for long-lived integrations.
All three are pull-only. Trig queries your warehouse on a schedule, with incremental syncs based on event timestamps. Trig does not write data back to the warehouse. You’ll set up the connection yourself in Trig settings. The table mapping (which tables, which columns, what filters) is configured for you by your Trig representative when the integration is enabled.