Google Pagespeed Insights → Holistics

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

How Datrise loads Google Pagespeed Insights into Holistics

Datrise syncs Google Pagespeed Insights's records, events, and configuration objects into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

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

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Google Pagespeed Insights entities map to Holistics

Google Pagespeed Insights entity	Holistics object	Notes
records	`google_pagespeed_insights_records`	id PK · custom fields → flattened columns for the modeling layer
events	`google_pagespeed_insights_events`	date/time dimensions 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 Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Google Pagespeed Insights to Holistics sync stay up to date?

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

Related pipelines

Early access

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