DatriseAI-first ETL

Chargebee Neon

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

How Datrise loads Chargebee into Neon

Datrise syncs Chargebee's subscriptions, invoices, customers, plans, and revenue events 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

Chargebee: Subscription billing and revenue operations platform.

Neon: Serverless Postgres destination with branching and autoscaling.

How Chargebee entities map to Neon

Chargebee entityNeon objectNotes
subscriptionschargebee_subscriptionsid PK · custom fields → jsonb columns
invoiceschargebee_invoicesid PK · linked to chargebee_subscriptions
customerschargebee_customersid PK · linked to chargebee_subscriptions
planschargebee_plansid PK · linked to chargebee_subscriptions

FAQ

How does Datrise handle Chargebee'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 Chargebee 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

Early access

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