DatriseAI-first ETL

Primetric to Microsoft SQL Server Integration

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

How Datrise loads Primetric into Microsoft SQL Server

Datrise syncs Primetric's projects, assignments, people, timesheets, budgets, and utilization rates 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

Primetric: Project profitability and resource forecasting.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Primetric entities map to Microsoft SQL Server

Primetric entityMicrosoft SQL Server objectNotes
projectsprimetric_projectsid PK · custom fields → NVARCHAR(MAX) JSON columns
assignmentsprimetric_assignmentsid PK · linked to primetric_projects
peopleprimetric_peopleid PK · linked to primetric_projects
timesheetsprimetric_timesheetsid PK · linked to primetric_projects

FAQ

How does Datrise handle Primetric'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 Primetric 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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