EspoCRM → Spotfire
AI-first ETL from EspoCRM into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads EspoCRM into Spotfire
Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation 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
EspoCRM: Open-source CRM for pipeline management and custom entity modeling.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How EspoCRM entities map to Spotfire
| EspoCRM entity | Spotfire object | Notes |
|---|---|---|
| pipeline entities | espocrm_pipeline_entities | id PK · custom fields → flattened columns for visualizations |
| custom objects | espocrm_custom_objects | id PK · linked to espocrm_pipeline_entities |
| process automation events | espocrm_process_automation_events | date/time columns events |
FAQ
How does Datrise handle EspoCRM'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 EspoCRM to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
Related pipelines
More destinations for EspoCRM
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