1С:CRM → Chartio
AI-first ETL from 1С:CRM into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads 1С:CRM into Chartio
Datrise syncs 1С:CRM's contacts, accounts, deals, activities, and lifecycle events into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
1С:CRM: CRM with strong adoption in CIS markets for sales and operations.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How 1С:CRM entities map to Chartio
| 1С:CRM entity | Chartio object | Notes |
|---|---|---|
| contacts | 1c_crm_contacts | id PK · custom fields → flattened columns for visual SQL |
| 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 Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the 1С:CRM to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for 1С:CRM
Early access
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