DatriseAI-first ETL

Dolibarr to Databricks SQL Warehouse Integration

AI-first ETL from Dolibarr into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Dolibarr into Databricks SQL Warehouse

Datrise syncs Dolibarr's third parties, proposals, orders, invoices, contracts, and interventions into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

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

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Dolibarr entities map to Databricks SQL Warehouse

Dolibarr entityDatabricks SQL Warehouse objectNotes
third partiesdolibarr_third_partiesid PK · custom fields → VARIANT or STRUCT 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 Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the Dolibarr to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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