Mambu to Neon Integration
AI-first ETL from Mambu into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mambu into Neon
Datrise syncs Mambu's clients, loan accounts, deposit accounts, transactions, repayments, and products into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.
Ideal for serverless Postgres workloads that scale to zero between syncs.
Endpoints
Mambu: Cloud core banking and lending engine.
Neon: Serverless Postgres destination with branching and autoscaling.
How Mambu entities map to Neon
| Mambu entity | Neon object | Notes |
|---|---|---|
| clients | mambu_clients | id PK · custom fields → jsonb 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 Neon?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.
How does the Mambu to Neon sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
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Early access
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