Mambu to Amazon QuickSight Integration

How Datrise loads Mambu into Amazon QuickSight

Datrise syncs Mambu's clients, loan accounts, deposit accounts, transactions, repayments, and products into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Mambu: Cloud core banking and lending engine.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Mambu entities map to Amazon QuickSight

Mambu entity	Amazon QuickSight object	Notes
clients	`mambu_clients`	id PK · custom fields → flattened columns for analyses
loan accounts	`mambu_loan_accounts`	id PK · linked to mambu_clients
deposit accounts	`mambu_deposit_accounts`	id PK · linked to mambu_clients
transactions	`mambu_transactions`	id PK · linked to mambu_clients

FAQ

How does Datrise handle Mambu's custom fields in Amazon QuickSight?

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

How does the Mambu to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

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