DatriseAI-first ETL

Autopilot to Yellowfin Integration

AI-first ETL from Autopilot into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads Autopilot into Yellowfin

Datrise syncs Autopilot's contacts, journeys, lists, email events, triggers, and custom fields into Yellowfin as warehouse tables Yellowfin builds views on. 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 connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Autopilot: Visual marketing automation and customer journeys.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Autopilot entities map to Yellowfin

Autopilot entityYellowfin objectNotes
contactsautopilot_contactsid PK · custom fields → flattened columns
journeysautopilot_journeysid PK · linked to autopilot_contacts
listsautopilot_listsid PK · linked to autopilot_contacts
email eventsautopilot_email_eventsdate/time dimensions events

FAQ

How does Datrise handle Autopilot's custom fields in Yellowfin?

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 Yellowfin types.

How does the Autopilot to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect Autopilot to Yellowfin the easy way

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