DatriseAI-first ETL

Referral Saasquatch Neon

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

How Datrise loads Referral Saasquatch into Neon

Datrise syncs Referral Saasquatch'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

Referral Saasquatch: SaaS or API data source for analytics and warehouse sync.

Neon: Serverless Postgres destination with branching and autoscaling.

How Referral Saasquatch entities map to Neon

Referral Saasquatch entityNeon objectNotes
recordsreferral_saasquatch_recordsid PK · custom fields → jsonb columns
eventsreferral_saasquatch_eventstimestamptz events
configuration objectsreferral_saasquatch_configuration_objectsid PK · linked to referral_saasquatch_records

FAQ

How does Datrise handle Referral Saasquatch'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 Referral Saasquatch 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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