DatriseAI-first ETL

Amplitude ThoughtSpot

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

How Datrise loads Amplitude into ThoughtSpot

Datrise syncs Amplitude's product events, user properties, funnels, cohorts, and retention curves 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

Amplitude: Product analytics source for events, funnels, and cohorts.

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

How Amplitude entities map to ThoughtSpot

Amplitude entityThoughtSpot objectNotes
product eventsamplitude_product_eventsdate/time columns events
user propertiesamplitude_user_propertiesid PK · linked to amplitude_product_events
funnelsamplitude_funnelsid PK · linked to amplitude_product_events
cohortsamplitude_cohortsid PK · linked to amplitude_product_events

FAQ

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

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

Related pipelines

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