DatriseAI-first ETL

Buildertrend to Amazon QuickSight Integration

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

How Datrise loads Buildertrend into Amazon QuickSight

Datrise syncs Buildertrend's jobs, estimates, change orders, selections, daily logs, and subcontractors into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Buildertrend: Construction project management for builders and remodelers.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Buildertrend entities map to Amazon QuickSight

Buildertrend entityAmazon QuickSight objectNotes
jobsbuildertrend_jobsid PK · custom fields → flattened columns for analyses
estimatesbuildertrend_estimatesid PK · linked to buildertrend_jobs
change ordersbuildertrend_change_ordersdate/time fields events
selectionsbuildertrend_selectionsid PK · linked to buildertrend_jobs

FAQ

How does Datrise handle Buildertrend's custom fields in Amazon QuickSight?

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

How does the Buildertrend to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

Early access

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