DatriseAI-first ETL

Hubplanner to PostgreSQL Integration

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

How Datrise loads Hubplanner into PostgreSQL

Datrise syncs Hubplanner's bookings, resources, projects, clients, timesheets, 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

Hubplanner: Resource planning and utilization for agencies.

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

How Hubplanner entities map to PostgreSQL

Hubplanner entityPostgreSQL objectNotes
bookingshubplanner_bookingsid PK · custom fields → jsonb columns
resourceshubplanner_resourcesid PK · linked to hubplanner_bookings
projectshubplanner_projectsid PK · linked to hubplanner_bookings
clientshubplanner_clientsid PK · linked to hubplanner_bookings

FAQ

How does Datrise handle Hubplanner'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 Hubplanner 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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