DatriseAI-first ETL

Google PageSpeed Insights to Birst Integration

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

How Datrise loads Google PageSpeed Insights into Birst

Datrise syncs Google PageSpeed Insights's audits, lab metrics, field metrics, opportunities, page URLs, and performance scores into Birst as warehouse tables for Birst's automated star schema. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the source tables Birst ingests, so re-runs update only what changed. Date-partitioned facts. Birst builds its own semantic layer, so Datrise lands conformed, well-keyed tables it can automate against.

Ideal for networked, governed enterprise BI.

Endpoints

Google PageSpeed Insights: Page performance and Core Web Vitals audits.

Birst: Cloud BI with networked analytics and enterprise semantic layers.

How Google PageSpeed Insights entities map to Birst

Google PageSpeed Insights entityBirst objectNotes
auditsgoogle_pagespeed_insights_auditsid PK · custom fields → flattened columns
lab metricsgoogle_pagespeed_insights_lab_metricsid PK · linked to google_pagespeed_insights_audits
field metricsgoogle_pagespeed_insights_field_metricsid PK · linked to google_pagespeed_insights_audits
opportunitiesgoogle_pagespeed_insights_opportunitiesid PK · linked to google_pagespeed_insights_audits

FAQ

How does Datrise handle Google PageSpeed Insights's custom fields in Birst?

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

How does the Google PageSpeed Insights to Birst sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the source tables Birst ingests.

Related pipelines

Early access

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