DatriseAI-first ETL

Bitrix24 Neon

AI-first ETL from Bitrix24 into Neon. Governed entities, incremental sync, typed landing tables.

How Datrise loads Bitrix24 into Neon

Datrise syncs Bitrix24's leads, deals, contacts, companies, activities, and contact-center 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

Bitrix24: CRM, contact center, and task automation suite.

Neon: Serverless Postgres destination with branching and autoscaling.

How Bitrix24 entities map to Neon

Bitrix24 entityNeon objectNotes
leadsbitrix24_leadsid PK · custom fields → jsonb columns
dealsbitrix24_dealsid PK · linked to bitrix24_leads
contactsbitrix24_contactsid PK · linked to bitrix24_leads
companiesbitrix24_companiesid PK · linked to bitrix24_leads

FAQ

How does Datrise handle Bitrix24'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 Bitrix24 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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