DatriseAI-first ETL

Referral Saasquatch to Oracle Database Integration

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

How Datrise loads Referral Saasquatch into Oracle Database

Datrise syncs Referral Saasquatch's users, referrals, rewards, programs, redemptions, and account balances into Oracle Database as a typed table per source entity. Flexible or custom fields land in JSON or CLOB columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses a watermark on updated-at, applied with MERGE INTO, so re-runs update only what changed. Optional range partitioning by load date. Oracle treats an empty string as NULL, so Datrise distinguishes blank source values from missing ones during load.

Ideal for enterprise data teams consolidating CRM data into an Oracle warehouse.

Endpoints

Referral Saasquatch: Referral and loyalty program tracking.

Oracle Database: Enterprise RDBMS with advanced partitioning and HA.

How Referral Saasquatch entities map to Oracle Database

Referral Saasquatch entityOracle Database objectNotes
usersreferral_saasquatch_usersid PK · custom fields → JSON or CLOB 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 Oracle Database?

Flexible values are stored as JSON or CLOB columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Oracle Database types.

How does the Referral Saasquatch to Oracle Database sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with MERGE INTO.

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