DatriseAI-first ETL

1С:CRM Neon

AI-first ETL from 1С:CRM into Neon. Governed entities, incremental sync, typed landing tables.

How Datrise loads 1С:CRM into Neon

Datrise syncs 1С: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

1С:CRM: CRM with strong adoption in CIS markets for sales and operations.

Neon: Serverless Postgres destination with branching and autoscaling.

How 1С:CRM entities map to Neon

1С:CRM entityNeon objectNotes
contacts1c_crm_contactsid PK · custom fields → jsonb columns
accounts1c_crm_accountsid PK · linked to 1c_crm_contacts
deals1c_crm_dealsid PK · linked to 1c_crm_contacts
activities1c_crm_activitiestimestamptz events

FAQ

How does Datrise handle 1С: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 1С: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

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