DatriseAI-first ETL

Propertybase to Birst Integration

AI-first ETL from Propertybase into Birst. Governed entities, incremental sync, typed landing tables.

How Datrise loads Propertybase into Birst

Datrise syncs Propertybase's leads, contacts, listings, opportunities, showings, and brokerage offices into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Propertybase: Salesforce-based real estate CRM for brokerages.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Propertybase entities map to Birst

Propertybase entityBirst objectNotes
leadspropertybase_leadsid PK · custom fields → flattened columns
contactspropertybase_contactsid PK · linked to propertybase_leads
listingspropertybase_listingsid PK · linked to propertybase_leads
opportunitiespropertybase_opportunitiesid PK · linked to propertybase_leads

FAQ

How does Datrise handle Propertybase's custom fields in Birst?

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

How does the Propertybase to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

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