kvCORE to Chartio Integration
AI-first ETL from kvCORE into Chartio. Governed entities, incremental sync, typed landing tables.
How Datrise loads kvCORE into Chartio
Datrise syncs kvCORE's leads, contacts, listings, smart campaigns, property alerts, and agent activity 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
kvCORE: Real estate platform for lead generation and agent websites.
Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.
How kvCORE entities map to Chartio
| kvCORE entity | Chartio object | Notes |
|---|---|---|
| leads | kvcore_leads | id PK · custom fields → flattened columns for visual SQL |
| contacts | kvcore_contacts | id PK · linked to kvcore_leads |
| listings | kvcore_listings | id PK · linked to kvcore_leads |
| smart campaigns | kvcore_smart_campaigns | id PK · linked to kvcore_leads |
FAQ
How does Datrise handle kvCORE'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 kvCORE to Chartio sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for kvCORE
Early access
Connect kvCORE to Chartio the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.