DatriseAI-first ETL

Kyriba to Metabase Integration

AI-first ETL from Kyriba into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads Kyriba into Metabase

Datrise syncs Kyriba's bank accounts, cash positions, payments, transactions, forecasts, and bank statements into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

Kyriba: Treasury, cash, and liquidity management.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Kyriba entities map to Metabase

Kyriba entityMetabase objectNotes
bank accountskyriba_bank_accountsid PK · custom fields → flattened columns for the question builder
cash positionskyriba_cash_positionsid PK · linked to kyriba_bank_accounts
paymentskyriba_paymentsid PK · linked to kyriba_bank_accounts
transactionskyriba_transactionsid PK · linked to kyriba_bank_accounts

FAQ

How does Datrise handle Kyriba's custom fields in Metabase?

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

How does the Kyriba to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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