DatriseAI-first ETL

HubSpot Service Hub ClickHouse

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

How Datrise loads HubSpot Service Hub into ClickHouse

Datrise syncs HubSpot Service Hub'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

HubSpot Service Hub: Customer service platform with ticket and conversation context.

ClickHouse: Columnar OLAP engine for fast aggregations.

How HubSpot Service Hub entities map to ClickHouse

HubSpot Service Hub entityClickHouse objectNotes
contactshubspot_service_contactsid PK · custom fields → JSON or Map columns
accountshubspot_service_accountsid PK · linked to hubspot_service_contacts
dealshubspot_service_dealsid PK · linked to hubspot_service_contacts
activitieshubspot_service_activitiesDateTime64 events

FAQ

How does Datrise handle HubSpot Service Hub'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 HubSpot Service Hub 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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