Google Pagespeed Insights → Google BigQuery

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

How Datrise loads Google Pagespeed Insights into Google BigQuery

Datrise syncs Google Pagespeed Insights's records, events, and configuration objects into Google BigQuery as a partitioned table per source entity. Flexible or custom fields land in JSON or nested/repeated (STRUCT) columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target, so re-runs update only what changed. Partition by ingestion or event date and cluster by entity id to keep scanned bytes low. BigQuery bills by bytes scanned, so Datrise partitions and clusters every table to keep query costs predictable.

Ideal for Google-stack analytics and ML on serverless infrastructure.

Endpoints

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

Google BigQuery: Serverless analytics warehouse on GCP.

How Google Pagespeed Insights entities map to Google BigQuery

Google Pagespeed Insights entity	Google BigQuery object	Notes
records	`google_pagespeed_insights_records`	id PK · custom fields → JSON or nested/repeated (STRUCT) columns
events	`google_pagespeed_insights_events`	TIMESTAMP 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 Google BigQuery?

Flexible values are stored as JSON or nested/repeated (STRUCT) columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Google BigQuery types.

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

It runs incrementally — Datrise uses appends to a staging table, then MERGE on stable id into the partitioned target.

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