Flexport → ThoughtSpot
AI-first ETL from Flexport into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Flexport into ThoughtSpot
Datrise syncs Flexport's records, events, and configuration objects 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
Flexport: SaaS or API data source for analytics and warehouse sync.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Flexport entities map to ThoughtSpot
| Flexport entity | ThoughtSpot object | Notes |
|---|---|---|
| records | flexport_records | id PK · custom fields → flattened columns for searchable fields |
| events | flexport_events | date/time columns events |
| configuration objects | flexport_configuration_objects | id PK · linked to flexport_records |
FAQ
How does Datrise handle Flexport'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 Flexport to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
More destinations for Flexport
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