DatriseAI-first ETL

Eloqua to Looker Studio Integration

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

How Datrise loads Eloqua into Looker Studio

Datrise syncs Eloqua's contacts, accounts, campaigns, email events, forms, and lead scores into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Eloqua: B2B marketing automation and lead nurturing.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Eloqua entities map to Looker Studio

Eloqua entityLooker Studio objectNotes
contactseloqua_contactsid PK · custom fields → flattened columns for chart fields
accountseloqua_accountsid PK · linked to eloqua_contacts
campaignseloqua_campaignsid PK · linked to eloqua_contacts
email eventseloqua_email_eventsdate dimension columns events

FAQ

How does Datrise handle Eloqua's custom fields in Looker Studio?

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

How does the Eloqua to Looker Studio sync stay up to date?

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

Related pipelines

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