DatriseAI-first ETL

Dolibarr to ThoughtSpot Integration

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

How Datrise loads Dolibarr into ThoughtSpot

Datrise syncs Dolibarr's third parties, proposals, orders, invoices, contracts, and interventions into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

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

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Dolibarr entities map to ThoughtSpot

Dolibarr entityThoughtSpot objectNotes
third partiesdolibarr_third_partiesid PK · custom fields → flattened columns for searchable fields
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 ThoughtSpot?

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

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

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

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