Hubplanner to Metabase Integration
AI-first ETL from Hubplanner into Metabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads Hubplanner into Metabase
Datrise syncs Hubplanner's bookings, resources, projects, clients, timesheets, and utilization rates into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.
Ideal for self-serve questions and dashboards for whole teams.
Endpoints
Hubplanner: Resource planning and utilization for agencies.
Metabase: Open-source analytics with questions, dashboards, and embedded insights.
How Hubplanner entities map to Metabase
| Hubplanner entity | Metabase object | Notes |
|---|---|---|
| bookings | hubplanner_bookings | id PK · custom fields → flattened columns for the question builder |
| resources | hubplanner_resources | id PK · linked to hubplanner_bookings |
| projects | hubplanner_projects | id PK · linked to hubplanner_bookings |
| clients | hubplanner_clients | id PK · linked to hubplanner_bookings |
FAQ
How does Datrise handle Hubplanner's custom fields in Metabase?
Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.
How does the Hubplanner to Metabase sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Hubplanner
Early access
Connect Hubplanner to Metabase the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.