DatriseAI-first ETL

Odoo CRM MySQL

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

How Datrise loads Odoo CRM into MySQL

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How Odoo CRM entities map to MySQL

Odoo CRM entityMySQL objectNotes
modular CRM entitiesodoo_crm_modular_crm_entitiesid PK · custom fields → JSON 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 MySQL?

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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