DatriseAI-first ETL

Mambu to Holistics Integration

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

How Datrise loads Mambu into Holistics

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

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Mambu: Cloud core banking and lending engine.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Mambu entities map to Holistics

Mambu entityHolistics objectNotes
clientsmambu_clientsid PK · custom fields → flattened columns for the modeling layer
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 Holistics?

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

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

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

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