Google Pagespeed Insights → ThoughtSpot

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

How Datrise loads Google Pagespeed Insights into ThoughtSpot

Datrise syncs Google Pagespeed Insights's records, events, and configuration objects 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

Google Pagespeed Insights: SaaS or API data source for analytics and warehouse sync.

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

How Google Pagespeed Insights entities map to ThoughtSpot

Google Pagespeed Insights entity	ThoughtSpot object	Notes
records	`google_pagespeed_insights_records`	id PK · custom fields → flattened columns for searchable fields
events	`google_pagespeed_insights_events`	date/time columns events
configuration objects	`google_pagespeed_insights_configuration_objects`	id PK · linked to google_pagespeed_insights_records

FAQ

How does Datrise handle Google Pagespeed Insights'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 Google Pagespeed Insights to ThoughtSpot sync stay up to date?

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

Related pipelines

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