DatriseAI-first ETL

Propertybase GoodData

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

How Datrise loads Propertybase into GoodData

Datrise syncs Propertybase's contacts, accounts, deals, activities, and lifecycle events into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

Propertybase: Real estate CRM for leads, listings, and agent follow-up.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Propertybase entities map to GoodData

Propertybase entityGoodData objectNotes
contactspropertybase_contactsid PK · custom fields → flattened columns
accountspropertybase_accountsid PK · linked to propertybase_contacts
dealspropertybase_dealsid PK · linked to propertybase_contacts
activitiespropertybase_activitiesdate dimensions events

FAQ

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

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 GoodData types.

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

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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