DatriseAI-first ETL

Referral Saasquatch to Amazon Redshift Integration

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

How Datrise loads Referral Saasquatch into Amazon Redshift

Datrise syncs Referral Saasquatch's users, referrals, rewards, programs, redemptions, and account balances into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

Referral Saasquatch: Referral and loyalty program tracking.

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Referral Saasquatch entities map to Amazon Redshift

Referral Saasquatch entityAmazon Redshift objectNotes
usersreferral_saasquatch_usersid PK · custom fields → SUPER columns
referralsreferral_saasquatch_referralsid PK · linked to referral_saasquatch_users
rewardsreferral_saasquatch_rewardsid PK · linked to referral_saasquatch_users
programsreferral_saasquatch_programsid PK · linked to referral_saasquatch_users

FAQ

How does Datrise handle Referral Saasquatch's custom fields in Amazon Redshift?

Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.

How does the Referral Saasquatch to Amazon Redshift sync stay up to date?

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

Early access

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