Wise Agent → Domo
AI-first ETL from Wise Agent into Domo. Governed entities, incremental sync, typed landing tables.
How Datrise loads Wise Agent into Domo
Datrise syncs Wise Agent's contacts, accounts, deals, activities, and lifecycle events 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
Wise Agent: Real estate CRM for leads, listings, and agent follow-up.
Domo: Cloud BI platform combining data integration and executive dashboards.
How Wise Agent entities map to Domo
| Wise Agent entity | Domo object | Notes |
|---|---|---|
| contacts | wise_agent_contacts | id PK · custom fields → flattened columns for Magic ETL |
| accounts | wise_agent_accounts | id PK · linked to wise_agent_contacts |
| deals | wise_agent_deals | id PK · linked to wise_agent_contacts |
| activities | wise_agent_activities | date/time columns events |
FAQ
How does Datrise handle Wise Agent'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 Wise Agent to Domo sync stay up to date?
It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.
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