DatriseAI-first ETL

Club Speed to Neon Integration

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

How Datrise loads Club Speed into Neon

Datrise syncs Club Speed's customers, races, bookings, products, transactions, and memberships 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

Club Speed: Venue management for karting and entertainment centers.

Neon: Serverless Postgres destination with branching and autoscaling.

How Club Speed entities map to Neon

Club Speed entityNeon objectNotes
customersclubspeed_customersid PK · custom fields → jsonb columns
racesclubspeed_racesid PK · linked to clubspeed_customers
bookingsclubspeed_bookingsid PK · linked to clubspeed_customers
productsclubspeed_productsid PK · linked to clubspeed_customers

FAQ

How does Datrise handle Club Speed'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 Club Speed 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

Connect Club Speed to Neon 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.