DatriseAI-first ETL

kvCORE Amazon QuickSight

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 contacts, accounts, deals, activities, and lifecycle events 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 CRM for leads, listings, and agent follow-up.

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

How kvCORE entities map to Amazon QuickSight

kvCORE entityAmazon QuickSight objectNotes
contactskvcore_contactsid PK · custom fields → flattened columns for analyses
accountskvcore_accountsid PK · linked to kvcore_contacts
dealskvcore_dealsid PK · linked to kvcore_contacts
activitieskvcore_activitiesdate/time fields events

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

Connect kvCORE to Amazon QuickSight the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.