DatriseAI-first ETL

Kyriba to MySQL Integration

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

How Datrise loads Kyriba into MySQL

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Kyriba: Treasury, cash, and liquidity management.

MySQL: Widely used OSS relational engine (InnoDB).

How Kyriba entities map to MySQL

Kyriba entityMySQL objectNotes
bank accountskyriba_bank_accountsid PK · custom fields → JSON 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 MySQL?

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

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

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

Related pipelines

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