DatriseAI-first ETL

Mambu to Azure Synapse Integration

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

How Datrise loads Mambu into Azure Synapse

Datrise syncs Mambu's clients, loan accounts, deposit accounts, transactions, repayments, and products into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Mambu: Cloud core banking and lending engine.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Mambu entities map to Azure Synapse

Mambu entityAzure Synapse objectNotes
clientsmambu_clientsid PK · custom fields → NVARCHAR(MAX) JSON 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 Azure Synapse?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Mambu to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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