DatriseAI-first ETL

RD Station CRM Neon

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

How Datrise loads RD Station CRM into Neon

Datrise syncs RD Station 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

RD Station CRM: CRM widely used in Latin America for sales pipeline and customer ops.

Neon: Serverless Postgres destination with branching and autoscaling.

How RD Station CRM entities map to Neon

RD Station CRM entityNeon objectNotes
contactsrd_station_crm_contactsid PK · custom fields → jsonb columns
accountsrd_station_crm_accountsid PK · linked to rd_station_crm_contacts
dealsrd_station_crm_dealsid PK · linked to rd_station_crm_contacts
activitiesrd_station_crm_activitiestimestamptz events

FAQ

How does Datrise handle RD Station 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 RD Station 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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