ServiceTitan to Mode Integration

How Datrise loads ServiceTitan into Mode

Datrise syncs ServiceTitan's jobs, customers, estimates, invoices, technicians, and service agreements into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

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

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How ServiceTitan entities map to Mode

ServiceTitan entity	Mode object	Notes
jobs	`servicetitan_jobs`	id PK · custom fields → flattened columns for SQL and notebooks
customers	`servicetitan_customers`	id PK · linked to servicetitan_jobs
estimates	`servicetitan_estimates`	id PK · linked to servicetitan_jobs
invoices	`servicetitan_invoices`	id PK · linked to servicetitan_jobs

FAQ

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

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

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

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

Connect ServiceTitan to Mode 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.