Wise Agent → Apache Superset
AI-first ETL from Wise Agent into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads Wise Agent into Apache Superset
Datrise syncs Wise Agent's contacts, accounts, deals, activities, and lifecycle events into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.
Ideal for open-source dashboards over your own database.
Endpoints
Wise Agent: Real estate CRM for leads, listings, and agent follow-up.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How Wise Agent entities map to Apache Superset
| Wise Agent entity | Apache Superset object | Notes |
|---|---|---|
| contacts | wise_agent_contacts | id PK · custom fields → flattened columns for the explore UI |
| 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 | temporal columns for time-series charts events |
FAQ
How does Datrise handle Wise Agent's custom fields in Apache Superset?
Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.
How does the Wise Agent to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
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Early access
Connect Wise Agent to Apache Superset the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.