DatriseAI-first ETL

Propertybase to PostgreSQL Integration

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

How Datrise loads Propertybase into PostgreSQL

Datrise syncs Propertybase's leads, contacts, listings, opportunities, showings, and brokerage offices into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Propertybase: Salesforce-based real estate CRM for brokerages.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Propertybase entities map to PostgreSQL

Propertybase entityPostgreSQL objectNotes
leadspropertybase_leadsid PK · custom fields → jsonb 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 PostgreSQL?

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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