DatriseAI-first ETL

HubSpot Service Hub to Metabase Integration

AI-first ETL from HubSpot Service Hub into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads HubSpot Service Hub into Metabase

Datrise syncs HubSpot Service Hub's tickets, contacts, companies, conversations, knowledge base articles, and feedback submissions 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 Service Hub: Ticketing and knowledge base on the HubSpot CRM record.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How HubSpot Service Hub entities map to Metabase

HubSpot Service Hub entityMetabase objectNotes
ticketshubspot_service_ticketsid PK · custom fields → flattened columns for the question builder
contactshubspot_service_contactsid PK · linked to hubspot_service_tickets
companieshubspot_service_companiesid PK · linked to hubspot_service_tickets
conversationshubspot_service_conversationsid PK · linked to hubspot_service_tickets

FAQ

How does Datrise handle HubSpot Service Hub'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 Service Hub to Metabase sync stay up to date?

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

Related pipelines

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