DatriseAI-first ETL

Buildertrend Sisense

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

How Datrise loads Buildertrend into Sisense

Datrise syncs Buildertrend's contacts, accounts, deals, activities, and lifecycle events into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.

Ideal for embedded analytics on an in-memory engine.

Endpoints

Buildertrend: Construction CRM for jobs, estimates, and contractor pipelines.

Sisense: Analytics platform with elastic data models and embedded analytics.

How Buildertrend entities map to Sisense

Buildertrend entitySisense objectNotes
contactsbuildertrend_contactsid PK · custom fields → flattened columns for the cube
accountsbuildertrend_accountsid PK · linked to buildertrend_contacts
dealsbuildertrend_dealsid PK · linked to buildertrend_contacts
activitiesbuildertrend_activitiesdate/time fields events

FAQ

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

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

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

It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.

Related pipelines

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