DatriseAI-first ETL

HubSpot Operations Hub Neon

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

How Datrise loads HubSpot Operations Hub into Neon

Datrise syncs HubSpot Operations Hub's contacts, accounts, deals, activities, and lifecycle events into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

HubSpot Operations Hub: CRM for SMB teams managing pipeline, contacts, and customer activity.

Neon: Serverless Postgres destination with branching and autoscaling.

How HubSpot Operations Hub entities map to Neon

HubSpot Operations Hub entityNeon objectNotes
contactshubspot_operations_contactsid PK · custom fields → jsonb columns
accountshubspot_operations_accountsid PK · linked to hubspot_operations_contacts
dealshubspot_operations_dealsid PK · linked to hubspot_operations_contacts
activitieshubspot_operations_activitiestimestamptz events

FAQ

How does Datrise handle HubSpot Operations Hub's custom fields in Neon?

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 Neon types.

How does the HubSpot Operations Hub to Neon sync stay up to date?

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

Related pipelines

Early access

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