DatriseAI-first ETL

HubSpot CRM PostgreSQL

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

How Datrise loads HubSpot CRM into PostgreSQL

Datrise syncs HubSpot CRM's contacts, companies, deals, lifecycle stages, and engagement 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 CRM: Inbound CRM with marketing, sales, and service hubs.

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

How HubSpot CRM entities map to PostgreSQL

HubSpot CRM entityPostgreSQL objectNotes
contactshubspot_contactsid PK · custom fields → jsonb columns
companieshubspot_companiesid PK · linked to hubspot_contacts
dealshubspot_dealsid PK · linked to hubspot_contacts
lifecycle stageshubspot_lifecycle_stagesid PK · linked to hubspot_contacts

FAQ

How does Datrise handle HubSpot CRM'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 CRM 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

Early access

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