DatriseAI-first ETL

ServiceTitan to PostgreSQL Integration

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

How Datrise loads ServiceTitan into PostgreSQL

Datrise syncs ServiceTitan's jobs, customers, estimates, invoices, technicians, and service agreements 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: Trades platform for dispatch, jobs, and revenue reporting.

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

How ServiceTitan entities map to PostgreSQL

ServiceTitan entityPostgreSQL objectNotes
jobsservicetitan_jobsid PK · custom fields → jsonb 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 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

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