DatriseAI-first ETL

ServiceTitan ClickHouse

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

How Datrise loads ServiceTitan into ClickHouse

Datrise syncs ServiceTitan's contacts, accounts, deals, activities, and lifecycle events into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

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

ClickHouse: Columnar OLAP engine for fast aggregations.

How ServiceTitan entities map to ClickHouse

ServiceTitan entityClickHouse objectNotes
contactsservicetitan_contactsid PK · custom fields → JSON or Map columns
accountsservicetitan_accountsid PK · linked to servicetitan_contacts
dealsservicetitan_dealsid PK · linked to servicetitan_contacts
activitiesservicetitan_activitiesDateTime64 events

FAQ

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

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

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

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

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