DatriseAI-first ETL

BoomTown to Metabase Integration

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

How Datrise loads BoomTown into Metabase

Datrise syncs BoomTown's leads, contacts, listings, opportunities, property alerts, and agent interactions into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

BoomTown: Real estate lead generation with predictive agent alerts.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How BoomTown entities map to Metabase

BoomTown entityMetabase objectNotes
leadsboomtown_leadsid PK · custom fields → flattened columns for the question builder
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 Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

How does the BoomTown to Metabase sync stay up to date?

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

Related pipelines

Early access

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