Mambu to Looker Integration
AI-first ETL from Mambu into Looker. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mambu into Looker
Datrise syncs Mambu's clients, loan accounts, deposit accounts, transactions, repayments, and products into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.
Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.
Ideal for governed, version-controlled BI on a warehouse.
Endpoints
Mambu: Cloud core banking and lending engine.
Looker: Google Cloud BI with LookML semantic models and governed dashboards.
How Mambu entities map to Looker
| Mambu entity | Looker object | Notes |
|---|---|---|
| clients | mambu_clients | id PK · custom fields → flattened columns (nested fields expanded for modeling) |
| 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 Looker?
Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.
How does the Mambu to Looker sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.
Related pipelines
More destinations for Mambu
Early access
Connect Mambu to Looker the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.