DatriseAI-first ETL

Referral Saasquatch to Domo Integration

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

How Datrise loads Referral Saasquatch into Domo

Datrise syncs Referral Saasquatch's users, referrals, rewards, programs, redemptions, and account balances into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

Referral Saasquatch: Referral and loyalty program tracking.

Domo: Cloud BI platform combining data integration and executive dashboards.

How Referral Saasquatch entities map to Domo

Referral Saasquatch entityDomo objectNotes
usersreferral_saasquatch_usersid PK · custom fields → flattened columns for Magic ETL
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 Domo?

Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.

How does the Referral Saasquatch to Domo sync stay up to date?

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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