Harvest → ThoughtSpot
AI-first ETL from Harvest into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Harvest into ThoughtSpot
Datrise syncs Harvest's time entries, projects, clients, invoices, and utilization 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
Harvest: Time tracking and project profitability for services teams.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Harvest entities map to ThoughtSpot
| Harvest entity | ThoughtSpot object | Notes |
|---|---|---|
| time entries | harvest_time_entries | id PK · custom fields → flattened columns for searchable fields |
| projects | harvest_projects | id PK · linked to harvest_time_entries |
| clients | harvest_clients | id PK · linked to harvest_time_entries |
| invoices | harvest_invoices | id PK · linked to harvest_time_entries |
FAQ
How does Datrise handle Harvest'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 Harvest to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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