DatriseAI-first ETL

Fastbill to Qlik Integration

AI-first ETL from Fastbill into Qlik. Governed entities, incremental sync, typed landing tables.

How Datrise loads Fastbill into Qlik

Datrise syncs Fastbill's invoices, customers, line items, payments, expenses, and recurring invoices into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.

Ideal for associative, in-memory exploration in Qlik Sense.

Endpoints

Fastbill: Invoicing and accounting for small businesses.

Qlik: Associative analytics with Qlik Sense apps and governed data models.

How Fastbill entities map to Qlik

Fastbill entityQlik objectNotes
invoicesfastbill_invoicesid PK · custom fields → flattened columns for the data model
customersfastbill_customersid PK · linked to fastbill_invoices
line itemsfastbill_line_itemsid PK · linked to fastbill_invoices
paymentsfastbill_paymentsid PK · linked to fastbill_invoices

FAQ

How does Datrise handle Fastbill's custom fields in Qlik?

Flexible values are stored as flattened columns for the data model, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Qlik types.

How does the Fastbill to Qlik sync stay up to date?

It runs incrementally — Datrise uses incremental QVD loads merged on stable id.

Related pipelines

Early access

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