DatriseAI-first ETL

Google PageSpeed Insights to Amazon QuickSight Integration

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

How Datrise loads Google PageSpeed Insights into Amazon QuickSight

Datrise syncs Google PageSpeed Insights's audits, lab metrics, field metrics, opportunities, page URLs, and performance scores into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

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

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Google PageSpeed Insights entities map to Amazon QuickSight

Google PageSpeed Insights entityAmazon QuickSight objectNotes
auditsgoogle_pagespeed_insights_auditsid PK · custom fields → flattened columns for analyses
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 Amazon QuickSight?

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

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

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

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