DatriseAI-first ETL

Primetric to Looker Studio Integration

AI-first ETL from Primetric into Looker Studio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Primetric into Looker Studio

Datrise syncs Primetric's projects, assignments, people, timesheets, budgets, and utilization rates into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Primetric: Project profitability and resource forecasting.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Primetric entities map to Looker Studio

Primetric entityLooker Studio objectNotes
projectsprimetric_projectsid PK · custom fields → flattened columns for chart fields
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 Looker Studio?

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

How does the Primetric to Looker Studio sync stay up to date?

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

Related pipelines

Early access

Connect Primetric to Looker Studio 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.