DatriseAI-first ETL

Dolibarr ThoughtSpot

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

How Datrise loads Dolibarr into ThoughtSpot

Datrise syncs Dolibarr's contacts, accounts, deals, activities, and lifecycle events 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 CRM for customizable sales and customer workflows.

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

How Dolibarr entities map to ThoughtSpot

Dolibarr entityThoughtSpot objectNotes
contactsdolibarr_contactsid PK · custom fields → flattened columns for searchable fields
accountsdolibarr_accountsid PK · linked to dolibarr_contacts
dealsdolibarr_dealsid PK · linked to dolibarr_contacts
activitiesdolibarr_activitiesdate/time columns events

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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