DatriseAI-first ETL

Kyriba to Neon Integration

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

How Datrise loads Kyriba into Neon

Datrise syncs Kyriba's bank accounts, cash positions, payments, transactions, forecasts, and bank statements into Neon 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

Kyriba: Treasury, cash, and liquidity management.

Neon: Serverless Postgres destination with branching and autoscaling.

How Kyriba entities map to Neon

Kyriba entityNeon 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 Neon?

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 Neon types.

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

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

Related pipelines

Early access

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