DatriseAI-first ETL

Buildertrend to Redash Integration

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

How Datrise loads Buildertrend into Redash

Datrise syncs Buildertrend's jobs, estimates, change orders, selections, daily logs, and subcontractors 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

Buildertrend: Construction project management for builders and remodelers.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Buildertrend entities map to Redash

Buildertrend entityRedash objectNotes
jobsbuildertrend_jobsid PK · custom fields → flattened columns for query results
estimatesbuildertrend_estimatesid PK · linked to buildertrend_jobs
change ordersbuildertrend_change_orderstemporal columns events
selectionsbuildertrend_selectionsid PK · linked to buildertrend_jobs

FAQ

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

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

Related pipelines

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