DatriseAI-first ETL

ServiceTitan MicroStrategy

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

How Datrise loads ServiceTitan into MicroStrategy

Datrise syncs ServiceTitan's contacts, accounts, deals, activities, and lifecycle events 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: Field service CRM for scheduling, jobs, and customer history.

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

How ServiceTitan entities map to MicroStrategy

ServiceTitan entityMicroStrategy 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 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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