HubSpot CRM → Metabase
AI-first ETL from HubSpot CRM into Metabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads HubSpot CRM into Metabase
Datrise syncs HubSpot CRM's contacts, companies, deals, lifecycle stages, and engagement events into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.
Ideal for self-serve questions and dashboards for whole teams.
Endpoints
HubSpot CRM: Inbound CRM with marketing, sales, and service hubs.
Metabase: Open-source analytics with questions, dashboards, and embedded insights.
How HubSpot CRM entities map to Metabase
| HubSpot CRM entity | Metabase object | Notes |
|---|---|---|
| contacts | hubspot_contacts | id PK · custom fields → flattened columns for the question builder |
| 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 Metabase?
Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.
How does the HubSpot CRM to Metabase sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for HubSpot CRM
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