DatriseAI-first ETL

kvCORE to MySQL Integration

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

How Datrise loads kvCORE into MySQL

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How kvCORE entities map to MySQL

kvCORE entityMySQL objectNotes
leadskvcore_leadsid PK · custom fields → JSON 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 MySQL?

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

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

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

Related pipelines

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