Bitrix24 → Mode
AI-first ETL from Bitrix24 into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads Bitrix24 into Mode
Datrise syncs Bitrix24's leads, deals, contacts, companies, activities, and contact-center events into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.
Ideal for SQL-first analysis with Python and R notebooks.
Endpoints
Bitrix24: CRM, contact center, and task automation suite.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How Bitrix24 entities map to Mode
| Bitrix24 entity | Mode object | Notes |
|---|---|---|
| leads | bitrix24_leads | id PK · custom fields → flattened columns for SQL and notebooks |
| 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 Mode?
Flexible values are stored as flattened columns for SQL and notebooks, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Mode types.
How does the Bitrix24 to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Bitrix24
Early access
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