Lofty to Domo Integration
AI-first ETL from Lofty into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Lofty into Domo
Datrise syncs Lofty's leads, contacts, listings, property searches, smart plans, and tour requests into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.
Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.
Ideal for all-in-one cloud BI with built-in ETL.
Endpoints
Lofty: Real estate CRM with IDX search and AI lead nurture.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Lofty entities map to Domo
| Lofty entity | Domo object | Notes |
|---|---|---|
| leads | lofty_leads | id PK · custom fields → flattened columns for Magic ETL |
| contacts | lofty_contacts | id PK · linked to lofty_leads |
| listings | lofty_listings | id PK · linked to lofty_leads |
| property searches | lofty_property_searches | id PK · linked to lofty_leads |
FAQ
How does Datrise handle Lofty's custom fields in Domo?
Flexible values are stored as flattened columns for Magic ETL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Domo types.
How does the Lofty to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
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