EspoCRM → GoodData
AI-first ETL from EspoCRM into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads EspoCRM into GoodData
Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation events into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
EspoCRM: Open-source CRM for pipeline management and custom entity modeling.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How EspoCRM entities map to GoodData
| EspoCRM entity | GoodData 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 dimensions events |
FAQ
How does Datrise handle EspoCRM's custom fields in GoodData?
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 GoodData types.
How does the EspoCRM to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for EspoCRM
Early access
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