Mambu to Qlik Integration
AI-first ETL from Mambu into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mambu into Qlik
Datrise syncs Mambu's clients, loan accounts, deposit accounts, transactions, repayments, and products into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.
Ideal for associative, in-memory exploration in Qlik Sense.
Endpoints
Mambu: Cloud core banking and lending engine.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Mambu entities map to Qlik
| Mambu entity | Qlik object | Notes |
|---|---|---|
| clients | mambu_clients | id PK · custom fields → flattened columns for the data model |
| 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 Qlik?
Flexible values are stored as flattened columns for the data model, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Qlik types.
How does the Mambu to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
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