Real Geeks to Sisense Integration
AI-first ETL from Real Geeks into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads Real Geeks into Sisense
Datrise syncs Real Geeks's leads, contacts, listings, saved searches, property views, and agent follow-ups into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
Real Geeks: Real estate lead generation sites with an integrated CRM.
Sisense: Analytics platform with elastic data models and embedded analytics.
How Real Geeks entities map to Sisense
| Real Geeks entity | Sisense object | Notes |
|---|---|---|
| leads | real_geeks_leads | id PK · custom fields → flattened columns for the cube |
| contacts | real_geeks_contacts | id PK · linked to real_geeks_leads |
| listings | real_geeks_listings | id PK · linked to real_geeks_leads |
| saved searches | real_geeks_saved_searches | id PK · linked to real_geeks_leads |
FAQ
How does Datrise handle Real Geeks's custom fields in Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the Real Geeks to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
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