Zapier Storage to ThoughtSpot Integration
AI-first ETL from Zapier Storage into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zapier Storage into ThoughtSpot
Datrise syncs Zapier Storage's stored values, keys, secrets, zaps, update events, and storage buckets 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
Zapier Storage: Key-value storage used by Zapier automations.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Zapier Storage entities map to ThoughtSpot
| Zapier Storage entity | ThoughtSpot object | Notes |
|---|---|---|
| stored values | zapier_supported_storage_stored_values | id PK · custom fields → flattened columns for searchable fields |
| keys | zapier_supported_storage_keys | id PK · linked to zapier_supported_storage_stored_values |
| secrets | zapier_supported_storage_secrets | id PK · linked to zapier_supported_storage_stored_values |
| zaps | zapier_supported_storage_zaps | id PK · linked to zapier_supported_storage_stored_values |
FAQ
How does Datrise handle Zapier Storage'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 Zapier Storage to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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Early access
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