Timely to ThoughtSpot Integration
AI-first ETL from Timely into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Timely into ThoughtSpot
Datrise syncs Timely's time entries, projects, clients, users, tags, and billable hours 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
Timely: Automatic time tracking for teams and projects.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Timely entities map to ThoughtSpot
| Timely entity | ThoughtSpot object | Notes |
|---|---|---|
| time entries | timely_time_entries | id PK · custom fields → flattened columns for searchable fields |
| projects | timely_projects | id PK · linked to timely_time_entries |
| clients | timely_clients | id PK · linked to timely_time_entries |
| users | timely_users | id PK · linked to timely_time_entries |
FAQ
How does Datrise handle Timely'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 Timely to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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