DatriseAI-first ETL

Eloqua to Apache Superset Integration

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

How Datrise loads Eloqua into Apache Superset

Datrise syncs Eloqua's contacts, accounts, campaigns, email events, forms, and lead scores into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.

Ideal for open-source dashboards over your own database.

Endpoints

Eloqua: B2B marketing automation and lead nurturing.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How Eloqua entities map to Apache Superset

Eloqua entityApache Superset objectNotes
contactseloqua_contactsid PK · custom fields → flattened columns for the explore UI
accountseloqua_accountsid PK · linked to eloqua_contacts
campaignseloqua_campaignsid PK · linked to eloqua_contacts
email eventseloqua_email_eventstemporal columns for time-series charts events

FAQ

How does Datrise handle Eloqua's custom fields in Apache Superset?

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

How does the Eloqua to Apache Superset sync stay up to date?

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

Related pipelines

Early access

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