DatriseAI-first ETL

Real Geeks to MySQL Integration

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 leads, contacts, listings, saved searches, property views, and agent follow-ups 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 lead generation sites with an integrated CRM.

MySQL: Widely used OSS relational engine (InnoDB).

How Real Geeks entities map to MySQL

Real Geeks entityMySQL objectNotes
leadsreal_geeks_leadsid PK · custom fields → JSON columns
contactsreal_geeks_contactsid PK · linked to real_geeks_leads
listingsreal_geeks_listingsid PK · linked to real_geeks_leads
saved searchesreal_geeks_saved_searchesid PK · linked to real_geeks_leads

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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