Bronto to Yellowfin Integration
AI-first ETL from Bronto into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Bronto into Yellowfin
Datrise syncs Bronto's contacts, deliveries, campaigns, orders, email events, and lists into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Bronto: Email marketing automation for commerce.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Bronto entities map to Yellowfin
| Bronto entity | Yellowfin object | Notes |
|---|---|---|
| contacts | bronto_contacts | id PK · custom fields → flattened columns |
| deliveries | bronto_deliveries | id PK · linked to bronto_contacts |
| campaigns | bronto_campaigns | id PK · linked to bronto_contacts |
| orders | bronto_orders | id PK · linked to bronto_contacts |
FAQ
How does Datrise handle Bronto's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Bronto to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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