DatriseAI-first ETL

Real Geeks to Qlik Integration

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

How Datrise loads Real Geeks into Qlik

Datrise syncs Real Geeks's leads, contacts, listings, saved searches, property views, and agent follow-ups into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.

Ideal for associative, in-memory exploration in Qlik Sense.

Endpoints

Real Geeks: Real estate lead generation sites with an integrated CRM.

Qlik: Associative analytics with Qlik Sense apps and governed data models.

How Real Geeks entities map to Qlik

Real Geeks entityQlik objectNotes
leadsreal_geeks_leadsid PK · custom fields → flattened columns for the data model
contactsreal_geeks_contactsid PK · linked to real_geeks_leads
listingsreal_geeks_listingsid PK · linked to real_geeks_leads
saved searchesreal_geeks_saved_searchesid PK · linked to real_geeks_leads

FAQ

How does Datrise handle Real Geeks's custom fields in Qlik?

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

How does the Real Geeks to Qlik sync stay up to date?

It runs incrementally — Datrise uses incremental QVD loads merged on stable id.

Related pipelines

Early access

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