DatriseAI-first ETL

Primetric to GoodData Integration

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

How Datrise loads Primetric into GoodData

Datrise syncs Primetric's projects, assignments, people, timesheets, budgets, and utilization rates into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

Primetric: Project profitability and resource forecasting.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Primetric entities map to GoodData

Primetric entityGoodData objectNotes
projectsprimetric_projectsid PK · custom fields → flattened 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 GoodData?

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

How does the Primetric to GoodData sync stay up to date?

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

Related pipelines

Early access

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