Invoiced to Yellowfin Integration
AI-first ETL from Invoiced into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Invoiced into Yellowfin
Datrise syncs Invoiced's invoices, customers, payments, subscriptions, credit notes, and line items 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
Invoiced: Accounts receivable automation and billing.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Invoiced entities map to Yellowfin
| Invoiced entity | Yellowfin object | Notes |
|---|---|---|
| invoices | invoiced_invoices | id PK · custom fields → flattened columns |
| customers | invoiced_customers | id PK · linked to invoiced_invoices |
| payments | invoiced_payments | id PK · linked to invoiced_invoices |
| subscriptions | invoiced_subscriptions | id PK · linked to invoiced_invoices |
FAQ
How does Datrise handle Invoiced'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 Invoiced to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Invoiced
Early access
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