DatriseAI-first ETL

Dolibarr to Azure Synapse Integration

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

How Datrise loads Dolibarr into Azure Synapse

Datrise syncs Dolibarr's third parties, proposals, orders, invoices, contracts, and interventions 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

Dolibarr: Open-source ERP and CRM for small organizations.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Dolibarr entities map to Azure Synapse

Dolibarr entityAzure Synapse objectNotes
third partiesdolibarr_third_partiesid PK · custom fields → NVARCHAR(MAX) JSON columns
proposalsdolibarr_proposalsid PK · linked to dolibarr_third_parties
ordersdolibarr_ordersid PK · linked to dolibarr_third_parties
invoicesdolibarr_invoicesid PK · linked to dolibarr_third_parties

FAQ

How does Datrise handle Dolibarr'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 Dolibarr 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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