DatriseAI-first ETL

Efficy CRM to ThoughtSpot Integration

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

How Datrise loads Efficy CRM into ThoughtSpot

Datrise syncs Efficy CRM's contacts, companies, opportunities, actions, campaigns, and service tickets 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

Efficy CRM: European CRM suite for sales, marketing, and service.

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

How Efficy CRM entities map to ThoughtSpot

Efficy CRM entityThoughtSpot objectNotes
contactsefficy_contactsid PK · custom fields → flattened columns for searchable fields
companiesefficy_companiesid PK · linked to efficy_contacts
opportunitiesefficy_opportunitiesid PK · linked to efficy_contacts
actionsefficy_actionsid PK · linked to efficy_contacts

FAQ

How does Datrise handle Efficy 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 Efficy 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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