DatriseAI-first ETL

Veeva CRM Neon

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

How Datrise loads Veeva CRM into Neon

Datrise syncs Veeva CRM'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

Veeva CRM: Healthcare CRM for accounts, compliance, and field engagement.

Neon: Serverless Postgres destination with branching and autoscaling.

How Veeva CRM entities map to Neon

Veeva CRM entityNeon objectNotes
contactsveeva_contactsid PK · custom fields → jsonb columns
accountsveeva_accountsid PK · linked to veeva_contacts
dealsveeva_dealsid PK · linked to veeva_contacts
activitiesveeva_activitiestimestamptz events

FAQ

How does Datrise handle Veeva CRM'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 Veeva CRM 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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