DatriseAI-first ETL

Shopify Byoa Neon

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

How Datrise loads Shopify Byoa into Neon

Datrise syncs Shopify Byoa's records, events, and configuration objects 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

Shopify Byoa: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Shopify Byoa entities map to Neon

Shopify Byoa entityNeon objectNotes
recordsshopify_byoa_recordsid PK · custom fields → jsonb columns
eventsshopify_byoa_eventstimestamptz events
configuration objectsshopify_byoa_configuration_objectsid PK · linked to shopify_byoa_records

FAQ

How does Datrise handle Shopify Byoa'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 Shopify Byoa 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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