DatriseAI-first ETL

Orb to Neon Integration

AI-first ETL from Orb into Neon. Governed entities, incremental sync, typed landing tables.

How Datrise loads Orb into Neon

Datrise syncs Orb's customers, subscriptions, invoices, usage events, plans, and credits 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

Orb: Usage-based billing and metered invoicing.

Neon: Serverless Postgres destination with branching and autoscaling.

How Orb entities map to Neon

Orb entityNeon objectNotes
customersorb_customersid PK · custom fields → jsonb columns
subscriptionsorb_subscriptionsid PK · linked to orb_customers
invoicesorb_invoicesid PK · linked to orb_customers
usage eventsorb_usage_eventstimestamptz events

FAQ

How does Datrise handle Orb'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 Orb 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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