DatriseAI-first ETL

SurveySparrow to ThoughtSpot Integration

AI-first ETL from SurveySparrow into ThoughtSpot. Governed entities, incremental sync, typed landing tables.

How Datrise loads SurveySparrow into ThoughtSpot

Datrise syncs SurveySparrow's surveys, responses, questions, contacts, NPS scores, and share links 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

SurveySparrow: Conversational surveys and feedback workflows.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How SurveySparrow entities map to ThoughtSpot

SurveySparrow entityThoughtSpot objectNotes
surveyssurveysparrow_surveysid PK · custom fields → flattened columns for searchable fields
responsessurveysparrow_responsesid PK · linked to surveysparrow_surveys
questionssurveysparrow_questionsid PK · linked to surveysparrow_surveys
contactssurveysparrow_contactsid PK · linked to surveysparrow_surveys

FAQ

How does Datrise handle SurveySparrow'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 SurveySparrow to ThoughtSpot sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

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