DatriseAI-first ETL

Propertybase to Amazon DynamoDB Integration

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

How Datrise loads Propertybase into Amazon DynamoDB

Datrise syncs Propertybase's leads, contacts, listings, opportunities, showings, and brokerage offices into Amazon DynamoDB as an item per source record in a table per entity. Flexible or custom fields land in nested map/list attributes, and timestamps such as created, updated, and status changes are typed as ISO-8601 string or epoch number attributes.

Sync is incremental: Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id, so re-runs update only what changed. Partition-key design on the entity id to spread throughput evenly. DynamoDB rewards access-pattern-first key design, so Datrise sets partition/sort keys from your entity ids rather than scan-heavy defaults.

Ideal for serverless apps needing single-digit-millisecond key lookups on CRM data.

Endpoints

Propertybase: Salesforce-based real estate CRM for brokerages.

Amazon DynamoDB: Serverless key-value and document store on AWS.

How Propertybase entities map to Amazon DynamoDB

Propertybase entityAmazon DynamoDB objectNotes
leadspropertybase_leadsid PK · custom fields → nested map/list attributes
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 Amazon DynamoDB?

Flexible values are stored as nested map/list attributes, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon DynamoDB types.

How does the Propertybase to Amazon DynamoDB sync stay up to date?

It runs incrementally — Datrise uses PutItem/UpdateItem keyed on a partition key derived from the entity id.

Related pipelines

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