DatriseAI-first ETL

Mambu to MySQL Integration

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

How Datrise loads Mambu into MySQL

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

Mambu: Cloud core banking and lending engine.

MySQL: Widely used OSS relational engine (InnoDB).

How Mambu entities map to MySQL

Mambu entityMySQL objectNotes
clientsmambu_clientsid PK · custom fields → JSON 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 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 Mambu 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

Early access

Connect Mambu to MySQL the easy way

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