1С:CRM → Mode
AI-first ETL from 1С:CRM into Mode. Governed entities, incremental sync, typed landing tables.
How Datrise loads 1С:CRM into Mode
Datrise syncs 1С:CRM's contacts, accounts, deals, activities, and lifecycle 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
1С:CRM: CRM with strong adoption in CIS markets for sales and operations.
Mode: Collaborative analytics workspace for SQL, Python, and shared reports.
How 1С:CRM entities map to Mode
| 1С:CRM entity | Mode object | Notes |
|---|---|---|
| contacts | 1c_crm_contacts | id PK · custom fields → flattened columns for SQL and notebooks |
| accounts | 1c_crm_accounts | id PK · linked to 1c_crm_contacts |
| deals | 1c_crm_deals | id PK · linked to 1c_crm_contacts |
| activities | 1c_crm_activities | temporal columns events |
FAQ
How does Datrise handle 1С:CRM'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 1С:CRM to Mode sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for 1С:CRM
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