DatriseAI-first ETL

HubSpot Service Hub Holistics

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

How Datrise loads HubSpot Service Hub into Holistics

Datrise syncs HubSpot Service Hub's contacts, accounts, deals, activities, and lifecycle events into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

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

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How HubSpot Service Hub entities map to Holistics

HubSpot Service Hub entityHolistics objectNotes
contactshubspot_service_contactsid PK · custom fields → flattened columns for the modeling layer
accountshubspot_service_accountsid PK · linked to hubspot_service_contacts
dealshubspot_service_dealsid PK · linked to hubspot_service_contacts
activitieshubspot_service_activitiesdate/time dimensions events

FAQ

How does Datrise handle HubSpot Service Hub's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the HubSpot Service Hub to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

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