DatriseAI-first ETL

Buildertrend Apache Superset

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

How Datrise loads Buildertrend into Apache Superset

Datrise syncs Buildertrend'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

Buildertrend: Construction CRM for jobs, estimates, and contractor pipelines.

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

How Buildertrend entities map to Apache Superset

Buildertrend entityApache Superset objectNotes
contactsbuildertrend_contactsid PK · custom fields → flattened columns for the explore UI
accountsbuildertrend_accountsid PK · linked to buildertrend_contacts
dealsbuildertrend_dealsid PK · linked to buildertrend_contacts
activitiesbuildertrend_activitiestemporal columns for time-series charts events

FAQ

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

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

Related pipelines

Early access

Connect Buildertrend 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.