DatriseAI-first ETL

ServiceTitan DuckDB

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

How Datrise loads ServiceTitan into DuckDB

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

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

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

DuckDB: In-process analytics database for fast local OLAP.

How ServiceTitan entities map to DuckDB

ServiceTitan entityDuckDB objectNotes
contactsservicetitan_contactsid PK · custom fields → JSON or STRUCT 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 DuckDB?

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

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

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

Connect ServiceTitan to DuckDB the easy way

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