Eloqua to MySQL Integration
AI-first ETL from Eloqua into MySQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads Eloqua into MySQL
Datrise syncs Eloqua's contacts, accounts, campaigns, email events, forms, and lead scores into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.
Ideal for operational reporting and app databases already standardized on MySQL.
Endpoints
Eloqua: B2B marketing automation and lead nurturing.
MySQL: Widely used OSS relational engine (InnoDB).
How Eloqua entities map to MySQL
| Eloqua entity | MySQL object | Notes |
|---|---|---|
| contacts | eloqua_contacts | id PK · custom fields → JSON columns |
| accounts | eloqua_accounts | id PK · linked to eloqua_contacts |
| campaigns | eloqua_campaigns | id PK · linked to eloqua_contacts |
| email events | eloqua_email_events | DATETIME/TIMESTAMP events |
FAQ
How does Datrise handle Eloqua's custom fields in MySQL?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.
How does the Eloqua to MySQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
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