Fastbill to Yellowfin Integration
AI-first ETL from Fastbill into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Fastbill into Yellowfin
Datrise syncs Fastbill's invoices, customers, line items, payments, expenses, and recurring invoices 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
Fastbill: Invoicing and accounting for small businesses.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Fastbill entities map to Yellowfin
| Fastbill entity | Yellowfin object | Notes |
|---|---|---|
| invoices | fastbill_invoices | id PK · custom fields → flattened columns |
| customers | fastbill_customers | id PK · linked to fastbill_invoices |
| line items | fastbill_line_items | id PK · linked to fastbill_invoices |
| payments | fastbill_payments | id PK · linked to fastbill_invoices |
FAQ
How does Datrise handle Fastbill'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 Fastbill to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Fastbill
Early access
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