DatriseAI-first ETL

Dolibarr Databricks SQL Warehouse

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 contacts, accounts, deals, activities, and lifecycle events 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 CRM for customizable sales and customer workflows.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Dolibarr entities map to Databricks SQL Warehouse

Dolibarr entityDatabricks SQL Warehouse objectNotes
contactsdolibarr_contactsid PK · custom fields → VARIANT or STRUCT columns
accountsdolibarr_accountsid PK · linked to dolibarr_contacts
dealsdolibarr_dealsid PK · linked to dolibarr_contacts
activitiesdolibarr_activitiesTIMESTAMP events

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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