Wise Agent to Redash Integration
AI-first ETL from Wise Agent into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Wise Agent into Redash
Datrise syncs Wise Agent's contacts, transactions, listings, commissions, referrals, and checklists into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Wise Agent: Real estate CRM for transactions, commissions, and referrals.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Wise Agent entities map to Redash
| Wise Agent entity | Redash object | Notes |
|---|---|---|
| contacts | wise_agent_contacts | id PK · custom fields → flattened columns for query results |
| transactions | wise_agent_transactions | id PK · linked to wise_agent_contacts |
| listings | wise_agent_listings | id PK · linked to wise_agent_contacts |
| commissions | wise_agent_commissions | id PK · linked to wise_agent_contacts |
FAQ
How does Datrise handle Wise Agent's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Wise Agent to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
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