Import API to ThoughtSpot Integration
AI-first ETL from Import API into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Import API into ThoughtSpot
Datrise syncs Import API's records, payloads, batches, schemas, ingest timestamps, and source keys 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
Import API: Direct API push of custom records into a pipeline.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Import API entities map to ThoughtSpot
| Import API entity | ThoughtSpot object | Notes |
|---|---|---|
| records | import_api_records | id PK · custom fields → flattened columns for searchable fields |
| payloads | import_api_payloads | id PK · linked to import_api_records |
| batches | import_api_batches | id PK · linked to import_api_records |
| schemas | import_api_schemas | id PK · linked to import_api_records |
FAQ
How does Datrise handle Import API'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 Import API to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
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