EspoCRM → Birst
AI-first ETL from EspoCRM into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads EspoCRM into Birst
Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation events into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
EspoCRM: Open-source CRM for pipeline management and custom entity modeling.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How EspoCRM entities map to Birst
| EspoCRM entity | Birst object | Notes |
|---|---|---|
| pipeline entities | espocrm_pipeline_entities | id PK · custom fields → flattened columns |
| custom objects | espocrm_custom_objects | id PK · linked to espocrm_pipeline_entities |
| process automation events | espocrm_process_automation_events | date/time dimensions events |
FAQ
How does Datrise handle EspoCRM's custom fields in Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the EspoCRM to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for EspoCRM
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