DatriseAI-first ETL

ServiceTitan to Neon Integration

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

How Datrise loads ServiceTitan into Neon

Datrise syncs ServiceTitan's jobs, customers, estimates, invoices, technicians, and service agreements into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

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

Neon: Serverless Postgres destination with branching and autoscaling.

How ServiceTitan entities map to Neon

ServiceTitan entityNeon 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 Neon?

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 Neon types.

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

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

Related pipelines

Early access

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