DatriseAI-first ETL

Hubplanner to Yellowfin Integration

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

How Datrise loads Hubplanner into Yellowfin

Datrise syncs Hubplanner's bookings, resources, projects, clients, timesheets, and utilization rates into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Hubplanner: Resource planning and utilization for agencies.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Hubplanner entities map to Yellowfin

Hubplanner entityYellowfin objectNotes
bookingshubplanner_bookingsid PK · custom fields → flattened 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 Yellowfin?

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 Yellowfin types.

How does the Hubplanner to Yellowfin sync stay up to date?

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

Related pipelines

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