DatriseAI-first ETL

ServiceTitan Yellowfin

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

How Datrise loads ServiceTitan into Yellowfin

Datrise syncs ServiceTitan's contacts, accounts, deals, activities, and lifecycle events 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

ServiceTitan: Field service CRM for scheduling, jobs, and customer history.

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

How ServiceTitan entities map to Yellowfin

ServiceTitan entityYellowfin objectNotes
contactsservicetitan_contactsid PK · custom fields → flattened columns
accountsservicetitan_accountsid PK · linked to servicetitan_contacts
dealsservicetitan_dealsid PK · linked to servicetitan_contacts
activitiesservicetitan_activitiesdate/time dimensions events

FAQ

How does Datrise handle ServiceTitan'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 ServiceTitan to Yellowfin sync stay up to date?

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

Related pipelines

Early access

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