Odoo CRM → Redash
AI-first ETL from Odoo CRM into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Odoo CRM into Redash
Datrise syncs Odoo CRM's modular CRM entities, opportunities, and revenue process data into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Odoo CRM: Modular CRM in the Odoo suite for leads, opportunities, and revenue.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Odoo CRM entities map to Redash
| Odoo CRM entity | Redash object | Notes |
|---|---|---|
| modular CRM entities | odoo_crm_modular_crm_entities | id PK · custom fields → flattened columns for query results |
| opportunities | odoo_crm_opportunities | id PK · linked to odoo_crm_modular_crm_entities |
| revenue process data | odoo_crm_revenue_process_data | id PK · linked to odoo_crm_modular_crm_entities |
FAQ
How does Datrise handle Odoo CRM's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Odoo CRM to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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