Autopilot to Birst Integration
AI-first ETL from Autopilot into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Autopilot into Birst
Datrise syncs Autopilot's contacts, journeys, lists, email events, triggers, and custom fields into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Autopilot: Visual marketing automation and customer journeys.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Autopilot entities map to Birst
| Autopilot entity | Birst object | Notes |
|---|---|---|
| contacts | autopilot_contacts | id PK · custom fields → flattened columns |
| journeys | autopilot_journeys | id PK · linked to autopilot_contacts |
| lists | autopilot_lists | id PK · linked to autopilot_contacts |
| email events | autopilot_email_events | date/time dimensions events |
FAQ
How does Datrise handle Autopilot's custom fields in Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the Autopilot to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for Autopilot
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