DatriseAI-first ETL

Buildertrend to ClickHouse Integration

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

How Datrise loads Buildertrend into ClickHouse

Datrise syncs Buildertrend's jobs, estimates, change orders, selections, daily logs, and subcontractors into ClickHouse as a MergeTree table per source entity. Flexible or custom fields land in JSON or Map columns, and timestamps such as created, updated, and status changes are typed as DateTime64.

Sync is incremental: Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge, so re-runs update only what changed. Partition by month and order by (entity id, updated-at) for fast range scans. ClickHouse deduplicates asynchronously on merge, so Datrise uses ReplacingMergeTree and FINAL-safe queries rather than assuming immediate upserts.

Ideal for high-volume event analytics that need sub-second aggregation.

Endpoints

Buildertrend: Construction project management for builders and remodelers.

ClickHouse: Columnar OLAP engine for fast aggregations.

How Buildertrend entities map to ClickHouse

Buildertrend entityClickHouse objectNotes
jobsbuildertrend_jobsid PK · custom fields → JSON or Map columns
estimatesbuildertrend_estimatesid PK · linked to buildertrend_jobs
change ordersbuildertrend_change_ordersDateTime64 events
selectionsbuildertrend_selectionsid PK · linked to buildertrend_jobs

FAQ

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

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

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

It runs incrementally — Datrise uses inserts into a ReplacingMergeTree keyed on stable id, so the latest version wins on merge.

Related pipelines

Early access

Connect Buildertrend to ClickHouse 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.