DatriseAI-first ETL

Dolibarr to Neon Integration

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

How Datrise loads Dolibarr into Neon

Datrise syncs Dolibarr's third parties, proposals, orders, invoices, contracts, and interventions into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

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

Neon: Serverless Postgres destination with branching and autoscaling.

How Dolibarr entities map to Neon

Dolibarr entityNeon objectNotes
third partiesdolibarr_third_partiesid PK · custom fields → jsonb 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 Neon?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.

How does the Dolibarr to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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