DatriseAI-first ETL

1С:CRM to Chartio Integration

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 counterparties, deals, interactions, orders, tasks, and business processes 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 built on the 1C platform for sales and back-office.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How 1С:CRM entities map to Chartio

1С:CRM entityChartio objectNotes
counterparties1c_crm_counterpartiesid PK · custom fields → flattened columns for visual SQL
deals1c_crm_dealsid PK · linked to 1c_crm_counterparties
interactions1c_crm_interactionsid PK · linked to 1c_crm_counterparties
orders1c_crm_ordersid PK · linked to 1c_crm_counterparties

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

Early access

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