DatriseAI-first ETL

kvCORE to Neon Integration

AI-first ETL from kvCORE into Neon. Governed entities, incremental sync, typed landing tables.

How Datrise loads kvCORE into Neon

Datrise syncs kvCORE's leads, contacts, listings, smart campaigns, property alerts, and agent activity into Neon as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

kvCORE: Real estate platform for lead generation and agent websites.

Neon: Serverless Postgres destination with branching and autoscaling.

How kvCORE entities map to Neon

kvCORE entityNeon objectNotes
leadskvcore_leadsid PK · custom fields → jsonb columns
contactskvcore_contactsid PK · linked to kvcore_leads
listingskvcore_listingsid PK · linked to kvcore_leads
smart campaignskvcore_smart_campaignsid PK · linked to kvcore_leads

FAQ

How does Datrise handle kvCORE's custom fields in Neon?

Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Neon types.

How does the kvCORE to Neon sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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