DatriseAI-first ETL

Odoo CRM Azure Synapse

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

How Datrise loads Odoo CRM into Azure Synapse

Datrise syncs Odoo CRM's modular CRM entities, opportunities, and revenue process data into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

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

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Odoo CRM entities map to Azure Synapse

Odoo CRM entityAzure Synapse objectNotes
modular CRM entitiesodoo_crm_modular_crm_entitiesid PK · custom fields → NVARCHAR(MAX) 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 Azure Synapse?

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

How does the Odoo CRM to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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