Bitrix24 → Spotfire
AI-first ETL from Bitrix24 into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads Bitrix24 into Spotfire
Datrise syncs Bitrix24's leads, deals, contacts, companies, activities, and contact-center events 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
Bitrix24: CRM, contact center, and task automation suite.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How Bitrix24 entities map to Spotfire
| Bitrix24 entity | Spotfire object | Notes |
|---|---|---|
| leads | bitrix24_leads | id PK · custom fields → flattened columns for visualizations |
| 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 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 Bitrix24 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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