DatriseAI-first ETL

Primetric to PostgreSQL Integration

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

How Datrise loads Primetric into PostgreSQL

Datrise syncs Primetric's projects, assignments, people, timesheets, budgets, and utilization rates into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.

Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.

Ideal for operational analytics and application backends that need fresh, queryable copies of your data.

Endpoints

Primetric: Project profitability and resource forecasting.

PostgreSQL: Open-source relational database with strong SQL and extensions.

How Primetric entities map to PostgreSQL

Primetric entityPostgreSQL objectNotes
projectsprimetric_projectsid PK · custom fields → jsonb 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 PostgreSQL?

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

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

It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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