DatriseAI-first ETL

kvCORE to Amazon QuickSight Integration

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

How Datrise loads kvCORE into Amazon QuickSight

Datrise syncs kvCORE's leads, contacts, listings, smart campaigns, property alerts, and agent activity into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

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

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How kvCORE entities map to Amazon QuickSight

kvCORE entityAmazon QuickSight objectNotes
leadskvcore_leadsid PK · custom fields → flattened columns for analyses
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 Amazon QuickSight?

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

How does the kvCORE to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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