DatriseAI-first ETL

Mambu to Oracle Database Integration

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

How Datrise loads Mambu into Oracle Database

Datrise syncs Mambu's clients, loan accounts, deposit accounts, transactions, repayments, and products 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

Mambu: Cloud core banking and lending engine.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Mambu entities map to Oracle Database

Mambu entityOracle Database objectNotes
clientsmambu_clientsid PK · custom fields → JSON or CLOB columns
loan accountsmambu_loan_accountsid PK · linked to mambu_clients
deposit accountsmambu_deposit_accountsid PK · linked to mambu_clients
transactionsmambu_transactionsid PK · linked to mambu_clients

FAQ

How does Datrise handle Mambu'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 Mambu 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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