DatriseAI-first ETL

Buildertrend to GoodData Integration

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

How Datrise loads Buildertrend into GoodData

Datrise syncs Buildertrend's jobs, estimates, change orders, selections, daily logs, and subcontractors into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

Buildertrend: Construction project management for builders and remodelers.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Buildertrend entities map to GoodData

Buildertrend entityGoodData objectNotes
jobsbuildertrend_jobsid PK · custom fields → flattened columns
estimatesbuildertrend_estimatesid PK · linked to buildertrend_jobs
change ordersbuildertrend_change_ordersdate dimensions events
selectionsbuildertrend_selectionsid PK · linked to buildertrend_jobs

FAQ

How does Datrise handle Buildertrend's custom fields in GoodData?

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

How does the Buildertrend to GoodData sync stay up to date?

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

Related pipelines

Early access

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