DatriseAI-first ETL

ServiceTitan to ThoughtSpot Integration

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

How Datrise loads ServiceTitan into ThoughtSpot

Datrise syncs ServiceTitan's jobs, customers, estimates, invoices, technicians, and service agreements into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

ServiceTitan: Trades platform for dispatch, jobs, and revenue reporting.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How ServiceTitan entities map to ThoughtSpot

ServiceTitan entityThoughtSpot objectNotes
jobsservicetitan_jobsid PK · custom fields → flattened columns for searchable fields
customersservicetitan_customersid PK · linked to servicetitan_jobs
estimatesservicetitan_estimatesid PK · linked to servicetitan_jobs
invoicesservicetitan_invoicesid PK · linked to servicetitan_jobs

FAQ

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

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

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

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

Related pipelines

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