Eloqua to Neon Integration
AI-first ETL from Eloqua into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Eloqua into Neon
Datrise syncs Eloqua's contacts, accounts, campaigns, email events, forms, and lead scores into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
Eloqua: B2B marketing automation and lead nurturing.
Neon: Serverless Postgres destination with branching and autoscaling.
How Eloqua entities map to Neon
| Eloqua entity | Neon object | Notes |
|---|---|---|
| contacts | eloqua_contacts | id PK · custom fields → jsonb columns |
| accounts | eloqua_accounts | id PK · linked to eloqua_contacts |
| campaigns | eloqua_campaigns | id PK · linked to eloqua_contacts |
| email events | eloqua_email_events | timestamptz events |
FAQ
How does Datrise handle Eloqua's custom fields in Neon?
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 Neon types.
How does the Eloqua to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
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