Bitrix24 → Birst
AI-first ETL from Bitrix24 into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Bitrix24 into Birst
Datrise syncs Bitrix24's leads, deals, contacts, companies, activities, and contact-center events into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Bitrix24: CRM, contact center, and task automation suite.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Bitrix24 entities map to Birst
| Bitrix24 entity | Birst object | Notes |
|---|---|---|
| leads | bitrix24_leads | id PK · custom fields → flattened columns |
| deals | bitrix24_deals | id PK · linked to bitrix24_leads |
| contacts | bitrix24_contacts | id PK · linked to bitrix24_leads |
| companies | bitrix24_companies | id PK · linked to bitrix24_leads |
FAQ
How does Datrise handle Bitrix24's custom fields in Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the Bitrix24 to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for Bitrix24
Early access
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