kvCORE to Google BigQuery Integration
AI-first ETL from kvCORE into Google BigQuery. Governed entities, incremental sync, typed landing tables.
How Datrise loads kvCORE into Google BigQuery
Datrise syncs kvCORE's leads, contacts, listings, smart campaigns, property alerts, and agent activity into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.
Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.
Ideal for Google-stack analytics and ML on serverless infrastructure.
Endpoints
kvCORE: Real estate platform for lead generation and agent websites.
Google BigQuery: Serverless analytics warehouse on GCP.
How kvCORE entities map to Google BigQuery
| kvCORE entity | Google BigQuery object | Notes |
|---|---|---|
| leads | kvcore_leads | id PK · custom fields → JSON or nested/repeated (STRUCT) 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 Google BigQuery?
Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.
How does the kvCORE to Google BigQuery sync stay up to date?
It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.
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Early access
Connect kvCORE to Google BigQuery the easy way
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