DatriseAI-first ETL

HubSpot Service Hub PostgreSQL

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

How Datrise loads HubSpot Service Hub into PostgreSQL

Datrise syncs HubSpot Service Hub's contacts, accounts, deals, activities, and lifecycle events into PostgreSQL as a typed table per source entity. 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 each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

HubSpot Service Hub: Customer service platform with ticket and conversation context.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How HubSpot Service Hub entities map to PostgreSQL

HubSpot Service Hub entityPostgreSQL objectNotes
contactshubspot_service_contactsid PK · custom fields → jsonb columns
accountshubspot_service_accountsid PK · linked to hubspot_service_contacts
dealshubspot_service_dealsid PK · linked to hubspot_service_contacts
activitieshubspot_service_activitiestimestamptz events

FAQ

How does Datrise handle HubSpot Service Hub's custom fields in PostgreSQL?

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 PostgreSQL types.

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

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

Related pipelines

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