DatriseAI-first ETL

ServiceTitan Spotfire

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

How Datrise loads ServiceTitan into Spotfire

Datrise syncs ServiceTitan's contacts, accounts, deals, activities, and lifecycle events into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

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

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How ServiceTitan entities map to Spotfire

ServiceTitan entitySpotfire objectNotes
contactsservicetitan_contactsid PK · custom fields → flattened columns for visualizations
accountsservicetitan_accountsid PK · linked to servicetitan_contacts
dealsservicetitan_dealsid PK · linked to servicetitan_contacts
activitiesservicetitan_activitiesdate/time columns events

FAQ

How does Datrise handle ServiceTitan's custom fields in Spotfire?

Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.

How does the ServiceTitan to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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