1С:CRM to Spotfire Integration
AI-first ETL from 1С:CRM into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads 1С:CRM into Spotfire
Datrise syncs 1С:CRM's counterparties, deals, interactions, orders, tasks, and business processes into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.
Ideal for interactive analytical visualization and data science.
Endpoints
1С:CRM: CRM built on the 1C platform for sales and back-office.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How 1С:CRM entities map to Spotfire
| 1С:CRM entity | Spotfire object | Notes |
|---|---|---|
| counterparties | 1c_crm_counterparties | id PK · custom fields → flattened columns for visualizations |
| deals | 1c_crm_deals | id PK · linked to 1c_crm_counterparties |
| interactions | 1c_crm_interactions | id PK · linked to 1c_crm_counterparties |
| orders | 1c_crm_orders | id PK · linked to 1c_crm_counterparties |
FAQ
How does Datrise handle 1С:CRM's custom fields in Spotfire?
Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.
How does the 1С:CRM to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
Related pipelines
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