DatriseAI-first ETL

Buildertrend to Amazon Redshift Integration

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

How Datrise loads Buildertrend into Amazon Redshift

Datrise syncs Buildertrend's jobs, estimates, change orders, selections, daily logs, and subcontractors into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.

Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.

Ideal for AWS-native warehouses already using the Redshift ecosystem.

Endpoints

Buildertrend: Construction project management for builders and remodelers.

Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.

How Buildertrend entities map to Amazon Redshift

Buildertrend entityAmazon Redshift objectNotes
jobsbuildertrend_jobsid PK · custom fields → SUPER columns
estimatesbuildertrend_estimatesid PK · linked to buildertrend_jobs
change ordersbuildertrend_change_ordersTIMESTAMPTZ events
selectionsbuildertrend_selectionsid PK · linked to buildertrend_jobs

FAQ

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

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

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

It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.

Related pipelines

Early access

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