DatriseAI-first ETL

Referral Saasquatch MySQL

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

How Datrise loads Referral Saasquatch into MySQL

Datrise syncs Referral Saasquatch's records, events, and configuration objects into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How Referral Saasquatch entities map to MySQL

Referral Saasquatch entityMySQL objectNotes
recordsreferral_saasquatch_recordsid PK · custom fields → JSON columns
eventsreferral_saasquatch_eventsDATETIME/TIMESTAMP events
configuration objectsreferral_saasquatch_configuration_objectsid PK · linked to referral_saasquatch_records

FAQ

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

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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