DatriseAI-first ETL

Kyriba to PostgreSQL Integration

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

How Datrise loads Kyriba into PostgreSQL

Datrise syncs Kyriba's bank accounts, cash positions, payments, transactions, forecasts, and bank statements into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Kyriba: Treasury, cash, and liquidity management.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Kyriba entities map to PostgreSQL

Kyriba entityPostgreSQL objectNotes
bank accountskyriba_bank_accountsid PK · custom fields → jsonb columns
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 PostgreSQL?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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