HubSpot CRM → Looker Studio
AI-first ETL from HubSpot CRM into Looker Studio. Governed entities, incremental sync, typed landing tables.
How Datrise loads HubSpot CRM into Looker Studio
Datrise syncs HubSpot CRM's contacts, companies, deals, lifecycle stages, and engagement events 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 CRM: Inbound CRM with marketing, sales, and service hubs.
Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).
How HubSpot CRM entities map to Looker Studio
| HubSpot CRM entity | Looker Studio object | Notes |
|---|---|---|
| contacts | hubspot_contacts | id PK · custom fields → flattened columns for chart fields |
| companies | hubspot_companies | id PK · linked to hubspot_contacts |
| deals | hubspot_deals | id PK · linked to hubspot_contacts |
| lifecycle stages | hubspot_lifecycle_stages | id PK · linked to hubspot_contacts |
FAQ
How does Datrise handle HubSpot CRM'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 CRM to Looker Studio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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Early access
Connect HubSpot CRM to Looker Studio the easy way
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