DatriseAI-first ETL

Real Geeks MySQL

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

How Datrise loads Real Geeks into MySQL

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

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

MySQL: Widely used OSS relational engine (InnoDB).

How Real Geeks entities map to MySQL

Real Geeks entityMySQL 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/TIMESTAMP events

FAQ

How does Datrise handle Real Geeks'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 Real Geeks 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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