DatriseAI-first ETL

ServiceTitan Oracle Database

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

How Datrise loads ServiceTitan into Oracle Database

Datrise syncs ServiceTitan's contacts, accounts, deals, activities, and lifecycle events into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

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

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How ServiceTitan entities map to Oracle Database

ServiceTitan entityOracle Database objectNotes
contactsservicetitan_contactsid PK · custom fields → JSON or CLOB columns
accountsservicetitan_accountsid PK · linked to servicetitan_contacts
dealsservicetitan_dealsid PK · linked to servicetitan_contacts
activitiesservicetitan_activitiesTIMESTAMP WITH TIME ZONE events

FAQ

How does Datrise handle ServiceTitan's custom fields in Oracle Database?

Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.

How does the ServiceTitan to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

Related pipelines

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