DatriseAI-first ETL

ServiceTitan to MicroStrategy Integration

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

How Datrise loads ServiceTitan into MicroStrategy

Datrise syncs ServiceTitan's jobs, customers, estimates, invoices, technicians, and service agreements into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

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

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How ServiceTitan entities map to MicroStrategy

ServiceTitan entityMicroStrategy objectNotes
jobsservicetitan_jobsid PK · custom fields → flattened columns
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 MicroStrategy?

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 MicroStrategy types.

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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