Mambu to Amazon S3 Data Lake Integration
AI-first ETL from Mambu into Amazon S3 Data Lake. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mambu into Amazon S3 Data Lake
Datrise syncs Mambu's clients, loan accounts, deposit accounts, transactions, repayments, and products into Amazon S3 Data Lake as columnar Parquet objects partitioned per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions and compacts small files on a schedule, so re-runs update only what changed. Hive-style path partitioning (entity/date) for engine-agnostic reads. A lake has no schema enforcement, so Datrise writes a schema manifest alongside the data to keep downstream engines consistent.
Ideal for an open, engine-neutral storage layer for Spark, Athena, Trino, or DuckDB.
Endpoints
Mambu: Cloud core banking and lending engine.
Amazon S3 Data Lake: Object storage landing zone for parquet and snapshots.
How Mambu entities map to Amazon S3 Data Lake
| Mambu entity | Amazon S3 Data Lake object | Notes |
|---|---|---|
| clients | mambu_clients | id PK · custom fields → nested struct/map fields in Parquet |
| 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 S3 Data Lake?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon S3 Data Lake types.
How does the Mambu to Amazon S3 Data Lake sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions and compacts small files on a schedule.
Related pipelines
More destinations for Mambu
More sources for Amazon S3 Data Lake
- Marketo → Amazon S3 Data Lake
- Marketo Bulk → Amazon S3 Data Lake
- Merge → Amazon S3 Data Lake
- Metabase → Amazon S3 Data Lake
- Microsoft Azure → Amazon S3 Data Lake
- Microsoft Dataverse → Amazon S3 Data Lake
- Microsoft SharePoint → Amazon S3 Data Lake
- Microsoft Teams → Amazon S3 Data Lake
- Microsoft SQL Server → Amazon S3 Data Lake
- My Hours → Amazon S3 Data Lake
- n8n → Amazon S3 Data Lake
- NetSuite SuiteAnalytics → Amazon S3 Data Lake
Early access
Connect Mambu to Amazon S3 Data Lake 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.