DatriseAI-first ETL

Eloqua to ThoughtSpot Integration

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

How Datrise loads Eloqua into ThoughtSpot

Datrise syncs Eloqua's contacts, accounts, campaigns, email events, forms, and lead scores 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

Eloqua: B2B marketing automation and lead nurturing.

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

How Eloqua entities map to ThoughtSpot

Eloqua entityThoughtSpot objectNotes
contactseloqua_contactsid PK · custom fields → flattened columns for searchable fields
accountseloqua_accountsid PK · linked to eloqua_contacts
campaignseloqua_campaignsid PK · linked to eloqua_contacts
email eventseloqua_email_eventsdate/time columns events

FAQ

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

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

Related pipelines

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