DatriseAI-first ETL

Real Geeks PostgreSQL

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

How Datrise loads Real Geeks into PostgreSQL

Datrise syncs Real Geeks's contacts, accounts, deals, activities, and lifecycle events into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

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

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Real Geeks entities map to PostgreSQL

Real Geeks entityPostgreSQL objectNotes
contactsreal_geeks_contactsid PK · custom fields → jsonb columns
accountsreal_geeks_accountsid PK · linked to real_geeks_contacts
dealsreal_geeks_dealsid PK · linked to real_geeks_contacts
activitiesreal_geeks_activitiestimestamptz events

FAQ

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

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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