DatriseAI-first ETL

ServiceTitan to Domo Integration

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

How Datrise loads ServiceTitan into Domo

Datrise syncs ServiceTitan's jobs, customers, estimates, invoices, technicians, and service agreements into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

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

Domo: Cloud BI platform combining data integration and executive dashboards.

How ServiceTitan entities map to Domo

ServiceTitan entityDomo objectNotes
jobsservicetitan_jobsid PK · custom fields → flattened columns for Magic ETL
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 Domo?

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

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

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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