DatriseAI-first ETL

Housecall Pro to ClickHouse Integration

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 jobs, customers, estimates, invoices, technicians, and service schedules 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: Home service scheduling, dispatch, and invoicing.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Housecall Pro entities map to ClickHouse

Housecall Pro entityClickHouse objectNotes
jobshousecall_pro_jobsid PK · custom fields → JSON or Map columns
customershousecall_pro_customersid PK · linked to housecall_pro_jobs
estimateshousecall_pro_estimatesid PK · linked to housecall_pro_jobs
invoiceshousecall_pro_invoicesid PK · linked to housecall_pro_jobs

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

Early access

Connect Housecall Pro to ClickHouse the easy way

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