DatriseAI-first ETL

Buildertrend Microsoft SQL Server

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

How Datrise loads Buildertrend into Microsoft SQL Server

Datrise syncs Buildertrend's contacts, accounts, deals, activities, and lifecycle events into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

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

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Buildertrend entities map to Microsoft SQL Server

Buildertrend entityMicrosoft SQL Server objectNotes
contactsbuildertrend_contactsid PK · custom fields → NVARCHAR(MAX) JSON columns
accountsbuildertrend_accountsid PK · linked to buildertrend_contacts
dealsbuildertrend_dealsid PK · linked to buildertrend_contacts
activitiesbuildertrend_activitiesdatetime2 events

FAQ

How does Datrise handle Buildertrend's custom fields in Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the Buildertrend to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

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