DatriseAI-first ETL

Odoo CRM Apache Superset

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

How Datrise loads Odoo CRM into Apache Superset

Datrise syncs Odoo CRM's modular CRM entities, opportunities, and revenue process data 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

Odoo CRM: Modular CRM in the Odoo suite for leads, opportunities, and revenue.

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

How Odoo CRM entities map to Apache Superset

Odoo CRM entityApache Superset objectNotes
modular CRM entitiesodoo_crm_modular_crm_entitiesid PK · custom fields → flattened columns for the explore UI
opportunitiesodoo_crm_opportunitiesid PK · linked to odoo_crm_modular_crm_entities
revenue process dataodoo_crm_revenue_process_dataid PK · linked to odoo_crm_modular_crm_entities

FAQ

How does Datrise handle Odoo CRM'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 Odoo CRM to Apache Superset sync stay up to date?

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

Related pipelines

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