DatriseAI-first ETL

Dolibarr MySQL

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

How Datrise loads Dolibarr into MySQL

Datrise syncs Dolibarr's contacts, accounts, deals, activities, and lifecycle events 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

Dolibarr: Open-source CRM for customizable sales and customer workflows.

MySQL: Widely used OSS relational engine (InnoDB).

How Dolibarr entities map to MySQL

Dolibarr entityMySQL objectNotes
contactsdolibarr_contactsid PK · custom fields → JSON columns
accountsdolibarr_accountsid PK · linked to dolibarr_contacts
dealsdolibarr_dealsid PK · linked to dolibarr_contacts
activitiesdolibarr_activitiesDATETIME/TIMESTAMP events

FAQ

How does Datrise handle Dolibarr'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 Dolibarr 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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