HubSpot CRM → Mode
AI-first ETL from HubSpot CRM into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads HubSpot CRM into Mode
Datrise syncs HubSpot CRM's contacts, companies, deals, lifecycle stages, and engagement events into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
HubSpot CRM: Inbound CRM with marketing, sales, and service hubs.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How HubSpot CRM entities map to Mode
| HubSpot CRM entity | Mode object | Notes |
|---|---|---|
| contacts | hubspot_contacts | id PK · custom fields → flattened columns for SQL and notebooks |
| 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 Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the HubSpot CRM to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for HubSpot CRM
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