DatriseAI-first ETL

Propertybase to MySQL Integration

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

How Datrise loads Propertybase into MySQL

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

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

Propertybase: Salesforce-based real estate CRM for brokerages.

MySQL: Widely used OSS relational engine (InnoDB).

How Propertybase entities map to MySQL

Propertybase entityMySQL objectNotes
leadspropertybase_leadsid PK · custom fields → JSON 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 MySQL?

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

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.

Related pipelines

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