DatriseAI-first ETL

Wise Agent to Spotfire Integration

AI-first ETL from Wise Agent into Spotfire. Governed entities, incremental sync, typed landing tables.

How Datrise loads Wise Agent into Spotfire

Datrise syncs Wise Agent's contacts, transactions, listings, commissions, referrals, and checklists into Spotfire as warehouse tables or in-memory data for Spotfire analyses. Flexible or custom fields land in flattened columns for visualizations, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or in-memory data, so re-runs update only what changed. Date-partitioned facts. Spotfire can load data in-memory, so Datrise keeps the backing tables incremental so analyses refresh without full reloads.

Ideal for interactive analytical visualization and data science.

Endpoints

Wise Agent: Real estate CRM for transactions, commissions, and referrals.

Spotfire: Visual analytics platform for interactive dashboards and data science workflows.

How Wise Agent entities map to Spotfire

Wise Agent entitySpotfire objectNotes
contactswise_agent_contactsid PK · custom fields → flattened columns for visualizations
transactionswise_agent_transactionsid PK · linked to wise_agent_contacts
listingswise_agent_listingsid PK · linked to wise_agent_contacts
commissionswise_agent_commissionsid PK · linked to wise_agent_contacts

FAQ

How does Datrise handle Wise Agent's custom fields in Spotfire?

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

How does the Wise Agent to Spotfire sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or in-memory data.

Related pipelines

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