DatriseAI-first ETL

ServiceTitan Databricks SQL Warehouse

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

How Datrise loads ServiceTitan into Databricks SQL Warehouse

Datrise syncs ServiceTitan's contacts, accounts, deals, activities, and lifecycle events into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

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

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How ServiceTitan entities map to Databricks SQL Warehouse

ServiceTitan entityDatabricks SQL Warehouse objectNotes
contactsservicetitan_contactsid PK · custom fields → VARIANT or STRUCT columns
accountsservicetitan_accountsid PK · linked to servicetitan_contacts
dealsservicetitan_dealsid PK · linked to servicetitan_contacts
activitiesservicetitan_activitiesTIMESTAMP events

FAQ

How does Datrise handle ServiceTitan's custom fields in Databricks SQL Warehouse?

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

How does the ServiceTitan to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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