DatriseAI-first ETL

Odoo CRM PostgreSQL

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

How Datrise loads Odoo CRM into PostgreSQL

Datrise syncs Odoo CRM's modular CRM entities, opportunities, and revenue process data into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Odoo CRM entities map to PostgreSQL

Odoo CRM entityPostgreSQL objectNotes
modular CRM entitiesodoo_crm_modular_crm_entitiesid PK · custom fields → jsonb columns
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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

How does the Odoo CRM to PostgreSQL sync stay up to date?

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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