DatriseAI-first ETL

BoomTown to Apache Superset Integration

AI-first ETL from BoomTown into Apache Superset. Governed entities, incremental sync, typed landing tables.

How Datrise loads BoomTown into Apache Superset

Datrise syncs BoomTown's leads, contacts, listings, opportunities, property alerts, and agent interactions 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

BoomTown: Real estate lead generation with predictive agent alerts.

Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.

How BoomTown entities map to Apache Superset

BoomTown entityApache Superset objectNotes
leadsboomtown_leadsid PK · custom fields → flattened columns for the explore UI
contactsboomtown_contactsid PK · linked to boomtown_leads
listingsboomtown_listingsid PK · linked to boomtown_leads
opportunitiesboomtown_opportunitiesid PK · linked to boomtown_leads

FAQ

How does Datrise handle BoomTown'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 BoomTown to Apache Superset sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

Connect BoomTown 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.