DatriseAI-first ETL

Codat to Oracle Database Integration

AI-first ETL from Codat into Oracle Database. Governed entities, incremental sync, typed landing tables.

How Datrise loads Codat into Oracle Database

Datrise syncs Codat's companies, accounts, invoices, bills, journal entries, and payments into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

Codat: Unified API for accounting and banking data.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Codat entities map to Oracle Database

Codat entityOracle Database objectNotes
companiescodat_companiesid PK · custom fields → JSON or CLOB columns
accountscodat_accountsid PK · linked to codat_companies
invoicescodat_invoicesid PK · linked to codat_companies
billscodat_billsid PK · linked to codat_companies

FAQ

How does Datrise handle Codat's custom fields in Oracle Database?

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

How does the Codat to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

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