DatriseAI-first ETL

Real Geeks PlanetScale

AI-first ETL from Real Geeks into PlanetScale. Governed entities, incremental sync, typed landing tables.

How Datrise loads Real Geeks into PlanetScale

Datrise syncs Real Geeks's contacts, accounts, deals, activities, and lifecycle events into PlanetScale 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.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.

Ideal for horizontally scalable MySQL apps on Vitess.

Endpoints

Real Geeks: Real estate CRM for leads, listings, and agent follow-up.

PlanetScale: Serverless MySQL platform with safe schema workflows.

How Real Geeks entities map to PlanetScale

Real Geeks entityPlanetScale objectNotes
contactsreal_geeks_contactsid PK · custom fields → JSON columns
accountsreal_geeks_accountsid PK · linked to real_geeks_contacts
dealsreal_geeks_dealsid PK · linked to real_geeks_contacts
activitiesreal_geeks_activitiesDATETIME events

FAQ

How does Datrise handle Real Geeks's custom fields in PlanetScale?

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 PlanetScale types.

How does the Real Geeks to PlanetScale sync stay up to date?

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

Related pipelines

Early access

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