DatriseAI-first ETL

HubSpot Service Hub to Supabase Integration

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

How Datrise loads HubSpot Service Hub into Supabase

Datrise syncs HubSpot Service Hub's tickets, contacts, companies, conversations, knowledge base articles, and feedback submissions into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

HubSpot Service Hub: Ticketing and knowledge base on the HubSpot CRM record.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How HubSpot Service Hub entities map to Supabase

HubSpot Service Hub entitySupabase objectNotes
ticketshubspot_service_ticketsid PK · custom fields → jsonb columns
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 Supabase?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.

How does the HubSpot Service Hub to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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