kvCORE to Birst Integration
AI-first ETL from kvCORE into Birst. Governed entities, incremental sync, typed landing tables.
How Datrise loads kvCORE into Birst
Datrise syncs kvCORE's leads, contacts, listings, smart campaigns, property alerts, and agent activity into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.
Ideal for networked, governed enterprise BI.
Endpoints
kvCORE: Real estate platform for lead generation and agent websites.
Birst: Cloud BI with networked analytics and enterprise semantic layers.
How kvCORE entities map to Birst
| kvCORE entity | Birst object | Notes |
|---|---|---|
| leads | kvcore_leads | id PK · custom fields → flattened columns |
| 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 Birst?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Birst types.
How does the kvCORE to Birst sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.
Related pipelines
More destinations for kvCORE
Early access
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