Fastbill to GoodData Integration
AI-first ETL from Fastbill into GoodData. Governed entities, incremental sync, typed landing tables.
How Datrise loads Fastbill into GoodData
Datrise syncs Fastbill's invoices, customers, line items, payments, expenses, and recurring invoices into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.
Ideal for embedded, multi-tenant analytics.
Endpoints
Fastbill: Invoicing and accounting for small businesses.
GoodData: Composable analytics platform with headless BI and embedded dashboards.
How Fastbill entities map to GoodData
| Fastbill entity | GoodData 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 GoodData?
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 GoodData types.
How does the Fastbill to GoodData sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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Early access
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