DatriseAI-first ETL

EspoCRM Apache Superset

AI-first ETL from EspoCRM into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads EspoCRM into Apache Superset

Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation events into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

EspoCRM: Open-source CRM for pipeline management and custom entity modeling.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How EspoCRM entities map to Apache Superset

EspoCRM entityApache Superset objectNotes
pipeline entitiesespocrm_pipeline_entitiesid PK · custom fields → flattened columns for the explore UI
custom objectsespocrm_custom_objectsid PK · linked to espocrm_pipeline_entities
process automation eventsespocrm_process_automation_eventstemporal columns for time-series charts events

FAQ

How does Datrise handle EspoCRM's custom fields in Apache Superset?

Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.

How does the EspoCRM to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

Connect EspoCRM to Apache Superset the easy way

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