Kyriba to Spotfire Integration
AI-first ETL from Kyriba into Spotfire. Governed entities, incremental sync, typed landing tables.
How Datrise loads Kyriba into Spotfire
Datrise syncs Kyriba's bank accounts, cash positions, payments, transactions, forecasts, and bank statements into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.
Ideal for interactive analytical visualization and data science.
Endpoints
Kyriba: Treasury, cash, and liquidity management.
Spotfire: Visual analytics platform for interactive dashboards and data science workflows.
How Kyriba entities map to Spotfire
| Kyriba entity | Spotfire object | Notes |
|---|---|---|
| bank accounts | kyriba_bank_accounts | id PK · custom fields → flattened columns for visualizations |
| 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 Spotfire?
Flexible values are stored as flattened columns for visualizations, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Spotfire types.
How does the Kyriba to Spotfire sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.
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Early access
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