Dolibarr to Spotfire Integration
AI-first ETL from Dolibarr into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads Dolibarr into Spotfire
Datrise syncs Dolibarr's third parties, proposals, orders, invoices, contracts, and interventions 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
Dolibarr: Open-source ERP and CRM for small organizations.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How Dolibarr entities map to Spotfire
| Dolibarr entity | Spotfire object | Notes |
|---|---|---|
| third parties | dolibarr_third_parties | id PK · custom fields → flattened columns for visualizations |
| proposals | dolibarr_proposals | id PK · linked to dolibarr_third_parties |
| orders | dolibarr_orders | id PK · linked to dolibarr_third_parties |
| invoices | dolibarr_invoices | id PK · linked to dolibarr_third_parties |
FAQ
How does Datrise handle Dolibarr'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 Dolibarr to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
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