DatriseAI-first ETL

Eloqua to Spotfire Integration

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

How Datrise loads Eloqua into Spotfire

Datrise syncs Eloqua's contacts, accounts, campaigns, email events, forms, and lead scores into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

Eloqua: B2B marketing automation and lead nurturing.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Eloqua entities map to Spotfire

Eloqua entitySpotfire objectNotes
contactseloqua_contactsid PK · custom fields → flattened columns for visualizations
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 Spotfire?

Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.

How does the Eloqua to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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