kvCORE to Redash Integration
AI-first ETL from kvCORE into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads kvCORE into Redash
Datrise syncs kvCORE's leads, contacts, listings, smart campaigns, property alerts, and agent activity into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, 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 for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
kvCORE: Real estate platform for lead generation and agent websites.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How kvCORE entities map to Redash
| kvCORE entity | Redash object | Notes |
|---|---|---|
| leads | kvcore_leads | id PK · custom fields → flattened columns for query results |
| 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 Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the kvCORE to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for kvCORE
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