DatriseAI-first ETL

Mambu to MicroStrategy Integration

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

How Datrise loads Mambu into MicroStrategy

Datrise syncs Mambu's clients, loan accounts, deposit accounts, transactions, repayments, and products into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Mambu: Cloud core banking and lending engine.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Mambu entities map to MicroStrategy

Mambu entityMicroStrategy objectNotes
clientsmambu_clientsid PK · custom fields → flattened 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 MicroStrategy?

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

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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