HubSpot CRM → Domo
AI-first ETL from HubSpot CRM into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads HubSpot CRM into Domo
Datrise syncs HubSpot CRM's contacts, companies, deals, lifecycle stages, and engagement events into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
HubSpot CRM: Inbound CRM with marketing, sales, and service hubs.
Domo: Cloud BI platform combining data integration and executive dashboards.
How HubSpot CRM entities map to Domo
| HubSpot CRM entity | Domo object | Notes |
|---|---|---|
| contacts | hubspot_contacts | id PK · custom fields → flattened columns for Magic ETL |
| 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 Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the HubSpot CRM to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
Related pipelines
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