Real Geeks to ClickHouse Integration
AI-first ETL from Real Geeks into ClickHouse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Real Geeks into ClickHouse
Datrise syncs Real Geeks's leads, contacts, listings, saved searches, property views, and agent follow-ups into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.
Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.
Ideal for high-volume event analytics that need sub-second aggregation.
Endpoints
Real Geeks: Real estate lead generation sites with an integrated CRM.
ClickHouse: Columnar OLAP engine for fast aggregations.
How Real Geeks entities map to ClickHouse
| Real Geeks entity | ClickHouse object | Notes |
|---|---|---|
| leads | real_geeks_leads | id PK · custom fields → JSON or Map columns |
| 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 ClickHouse?
Flexible values are stored as JSON or Map columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ClickHouse types.
How does the Real Geeks to ClickHouse sync stay up to date?
It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.
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