DatriseAI-first ETL

Housecall Pro ClickHouse

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

How Datrise loads Housecall Pro into ClickHouse

Datrise syncs Housecall Pro'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

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

ClickHouse: Columnar OLAP engine for fast aggregations.

How Housecall Pro entities map to ClickHouse

Housecall Pro entityClickHouse objectNotes
contactshousecall_pro_contactsid PK · custom fields → JSON or Map columns
accountshousecall_pro_accountsid PK · linked to housecall_pro_contacts
dealshousecall_pro_dealsid PK · linked to housecall_pro_contacts
activitieshousecall_pro_activitiesDateTime64 events

FAQ

How does Datrise handle Housecall Pro'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 Housecall Pro 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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