DatriseAI-first ETL

EspoCRM Metabase

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

How Datrise loads EspoCRM into Metabase

Datrise syncs EspoCRM's pipeline entities, custom objects, and process automation events into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

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

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How EspoCRM entities map to Metabase

EspoCRM entityMetabase objectNotes
pipeline entitiesespocrm_pipeline_entitiesid PK · custom fields → flattened columns for the question builder
custom objectsespocrm_custom_objectsid PK · linked to espocrm_pipeline_entities
process automation eventsespocrm_process_automation_eventstemporal columns for trends events

FAQ

How does Datrise handle EspoCRM's custom fields in Metabase?

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

How does the EspoCRM to Metabase sync stay up to date?

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

Related pipelines

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