Mambu to Amazon DynamoDB Integration
AI-first ETL from Mambu into Amazon DynamoDB. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mambu into Amazon DynamoDB
Datrise syncs Mambu's clients, loan accounts, deposit accounts, transactions, repayments, and products into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.
Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.
Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.
Endpoints
Mambu: Cloud core banking and lending engine.
Amazon DynamoDB: Serverless key-value and document store on AWS.
How Mambu entities map to Amazon DynamoDB
| Mambu entity | Amazon DynamoDB object | Notes |
|---|---|---|
| clients | mambu_clients | id PK · custom fields → nested map/list attributes |
| 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 Amazon DynamoDB?
Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.
How does the Mambu to Amazon DynamoDB sync stay up to date?
It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.
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Early access
Connect Mambu to Amazon DynamoDB 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.