DatriseAI-first ETL

ServiceTitan PostgreSQL

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

How Datrise loads ServiceTitan into PostgreSQL

Datrise syncs ServiceTitan's contacts, accounts, deals, activities, and lifecycle events into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How ServiceTitan entities map to PostgreSQL

ServiceTitan entityPostgreSQL objectNotes
contactsservicetitan_contactsid PK · custom fields → jsonb columns
accountsservicetitan_accountsid PK · linked to servicetitan_contacts
dealsservicetitan_dealsid PK · linked to servicetitan_contacts
activitiesservicetitan_activitiestimestamptz events

FAQ

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

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

Connect ServiceTitan to PostgreSQL the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.