DatriseAI-first ETL

Hubplanner to ThoughtSpot Integration

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

How Datrise loads Hubplanner into ThoughtSpot

Datrise syncs Hubplanner's bookings, resources, projects, clients, timesheets, and utilization rates into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

Hubplanner: Resource planning and utilization for agencies.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Hubplanner entities map to ThoughtSpot

Hubplanner entityThoughtSpot objectNotes
bookingshubplanner_bookingsid PK · custom fields → flattened columns for searchable fields
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 ThoughtSpot?

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

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

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

Related pipelines

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