Mambu to Birst Integration
AI-first ETL from Mambu into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mambu into Birst
Datrise syncs Mambu's clients, loan accounts, deposit accounts, transactions, repayments, and products into Birst as warehouse tables for Birst's automated star schema. 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 source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
Mambu: Cloud core banking and lending engine.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How Mambu entities map to Birst
| Mambu entity | Birst object | Notes |
|---|---|---|
| clients | mambu_clients | id PK · custom fields → flattened columns |
| 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 Birst?
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 Birst types.
How does the Mambu to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
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