Propertybase to Amazon QuickSight Integration
AI-first ETL from Propertybase into Amazon QuickSight. Governed entities, incremental sync, typed landing tables.
How Datrise loads Propertybase into Amazon QuickSight
Datrise syncs Propertybase's leads, contacts, listings, opportunities, showings, and brokerage offices 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
Propertybase: Salesforce-based real estate CRM for brokerages.
Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.
How Propertybase entities map to Amazon QuickSight
| Propertybase entity | Amazon QuickSight object | Notes |
|---|---|---|
| leads | propertybase_leads | id PK · custom fields → flattened columns for analyses |
| contacts | propertybase_contacts | id PK · linked to propertybase_leads |
| listings | propertybase_listings | id PK · linked to propertybase_leads |
| opportunities | propertybase_opportunities | id PK · linked to propertybase_leads |
FAQ
How does Datrise handle Propertybase'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 Propertybase to Amazon QuickSight sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.
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Early access
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