DatriseAI-first ETL

Mambu to Spreadsheets Integration

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

How Datrise loads Mambu into Spreadsheets

Datrise syncs Mambu's clients, loan accounts, deposit accounts, transactions, repayments, and products into Spreadsheets as a tab per source entity. Flexible or custom fields land in JSON-stringified cells for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 text or serial date cells.

Sync is incremental: Datrise uses refreshes the tab's rows each run, preserving header order, so re-runs update only what changed. Sheets caps out around the low millions of cells, so Datrise lands a curated column set rather than every raw field.

Ideal for lightweight, shareable reporting for non-technical teams.

Endpoints

Mambu: Cloud core banking and lending engine.

Spreadsheets: Business-friendly spreadsheet destination for collaborative analysis.

How Mambu entities map to Spreadsheets

Mambu entitySpreadsheets objectNotes
clientsmambu_clientsid PK · custom fields → JSON-stringified cells for nested fields
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 Spreadsheets?

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

How does the Mambu to Spreadsheets sync stay up to date?

It runs incrementally — Datrise uses refreshes the tab's rows each run, preserving header order.

Related pipelines

Early access

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