Kyriba to Qlik Integration
AI-first ETL from Kyriba into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kyriba into Qlik
Datrise syncs Kyriba's bank accounts, cash positions, payments, transactions, forecasts, and bank statements 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
Kyriba: Treasury, cash, and liquidity management.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Kyriba entities map to Qlik
| Kyriba entity | Qlik object | Notes |
|---|---|---|
| bank accounts | kyriba_bank_accounts | id PK · custom fields → flattened columns for the data model |
| cash positions | kyriba_cash_positions | id PK · linked to kyriba_bank_accounts |
| payments | kyriba_payments | id PK · linked to kyriba_bank_accounts |
| transactions | kyriba_transactions | id PK · linked to kyriba_bank_accounts |
FAQ
How does Datrise handle Kyriba'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 Kyriba to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
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Early access
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