Pendo → ThoughtSpot
AI-first ETL from Pendo into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads Pendo into ThoughtSpot
Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata 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
Pendo: Product analytics and in-app guidance for SaaS teams.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How Pendo entities map to ThoughtSpot
| Pendo entity | ThoughtSpot object | Notes |
|---|---|---|
| events | pendo_events | date/time columns events |
| guides | pendo_guides | id PK · linked to pendo_events |
| NPS | pendo_nps | id PK · linked to pendo_events |
| feature adoption | pendo_feature_adoption | id PK · linked to pendo_events |
FAQ
How does Datrise handle Pendo'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 Pendo to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
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