DatriseAI-first ETL

Real Geeks Spotfire

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

How Datrise loads Real Geeks into Spotfire

Datrise syncs Real Geeks's contacts, accounts, deals, activities, and lifecycle events 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

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

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

How Real Geeks entities map to Spotfire

Real Geeks entitySpotfire objectNotes
contactsreal_geeks_contactsid PK · custom fields → flattened columns for visualizations
accountsreal_geeks_accountsid PK · linked to real_geeks_contacts
dealsreal_geeks_dealsid PK · linked to real_geeks_contacts
activitiesreal_geeks_activitiesdate/time columns events

FAQ

How does Datrise handle Real Geeks'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 Real Geeks to Spotfire sync stay up to date?

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

Related pipelines

Early access

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