DatriseAI-first ETL

Eloqua to PostgreSQL Integration

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

How Datrise loads Eloqua into PostgreSQL

Datrise syncs Eloqua's contacts, accounts, campaigns, email events, forms, and lead scores into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Eloqua: B2B marketing automation and lead nurturing.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Eloqua entities map to PostgreSQL

Eloqua entityPostgreSQL objectNotes
contactseloqua_contactsid PK · custom fields → jsonb columns
accountseloqua_accountsid PK · linked to eloqua_contacts
campaignseloqua_campaignsid PK · linked to eloqua_contacts
email eventseloqua_email_eventstimestamptz events

FAQ

How does Datrise handle Eloqua's custom fields in PostgreSQL?

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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