Real Geeks to Chartio Integration
AI-first ETL from Real Geeks into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads Real Geeks into Chartio
Datrise syncs Real Geeks's leads, contacts, listings, saved searches, property views, and agent follow-ups into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.
Ideal for drag-and-drop charting over a database.
Endpoints
Real Geeks: Real estate lead generation sites with an integrated CRM.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How Real Geeks entities map to Chartio
| Real Geeks entity | Chartio object | Notes |
|---|---|---|
| leads | real_geeks_leads | id PK · custom fields → flattened columns for visual SQL |
| contacts | real_geeks_contacts | id PK · linked to real_geeks_leads |
| listings | real_geeks_listings | id PK · linked to real_geeks_leads |
| saved searches | real_geeks_saved_searches | id PK · linked to real_geeks_leads |
FAQ
How does Datrise handle Real Geeks's custom fields in Chartio?
Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.
How does the Real Geeks to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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