DatriseAI-first ETL

Hubplanner to Redash Integration

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

How Datrise loads Hubplanner into Redash

Datrise syncs Hubplanner's bookings, resources, projects, clients, timesheets, and utilization rates into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

Hubplanner: Resource planning and utilization for agencies.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Hubplanner entities map to Redash

Hubplanner entityRedash objectNotes
bookingshubplanner_bookingsid PK · custom fields → flattened columns for query results
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 Redash?

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

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

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

Related pipelines

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