DatriseAI-first ETL

Selligent to ThoughtSpot Integration

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

How Datrise loads Selligent into ThoughtSpot

Datrise syncs Selligent's contacts, journeys, campaigns, message events, lists, and real-time triggers 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

Selligent: Enterprise cross-channel campaigns with real-time triggers.

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

How Selligent entities map to ThoughtSpot

Selligent entityThoughtSpot objectNotes
contactsselligent_contactsid PK · custom fields → flattened columns for searchable fields
journeysselligent_journeysid PK · linked to selligent_contacts
campaignsselligent_campaignsid PK · linked to selligent_contacts
message eventsselligent_message_eventsdate/time columns events

FAQ

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

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

Related pipelines

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