DatriseAI-first ETL

HubSpot Operations Hub to Looker Studio Integration

AI-first ETL from HubSpot Operations Hub into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads HubSpot Operations Hub into Looker Studio

Datrise syncs HubSpot Operations Hub's contacts, companies, deals, sync records, data quality issues, and workflow actions into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

HubSpot Operations Hub: Data sync, cleansing, and workflow extensions for HubSpot.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How HubSpot Operations Hub entities map to Looker Studio

HubSpot Operations Hub entityLooker Studio objectNotes
contactshubspot_operations_contactsid PK · custom fields → flattened columns for chart fields
companieshubspot_operations_companiesid PK · linked to hubspot_operations_contacts
dealshubspot_operations_dealsid PK · linked to hubspot_operations_contacts
sync recordshubspot_operations_sync_recordsid PK · linked to hubspot_operations_contacts

FAQ

How does Datrise handle HubSpot Operations Hub's custom fields in Looker Studio?

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

How does the HubSpot Operations Hub to Looker Studio sync stay up to date?

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

Related pipelines

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