DatriseAI-first ETL

Omie CRM to ThoughtSpot Integration

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

How Datrise loads Omie CRM into ThoughtSpot

Datrise syncs Omie CRM's clients, opportunities, sales orders, invoices, products, and accounts receivable 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

Omie CRM: Brazilian ERP and CRM for SMB sales and finance.

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

How Omie CRM entities map to ThoughtSpot

Omie CRM entityThoughtSpot objectNotes
clientsomie_clientsid PK · custom fields → flattened columns for searchable fields
opportunitiesomie_opportunitiesid PK · linked to omie_clients
sales ordersomie_sales_ordersid PK · linked to omie_clients
invoicesomie_invoicesid PK · linked to omie_clients

FAQ

How does Datrise handle Omie CRM'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 Omie CRM to ThoughtSpot sync stay up to date?

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

Related pipelines

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