DatriseAI-first ETL

Google PageSpeed Insights to Redash Integration

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

How Datrise loads Google PageSpeed Insights into Redash

Datrise syncs Google PageSpeed Insights's audits, lab metrics, field metrics, opportunities, page URLs, and performance scores into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

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

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Google PageSpeed Insights entities map to Redash

Google PageSpeed Insights entityRedash objectNotes
auditsgoogle_pagespeed_insights_auditsid PK · custom fields → flattened columns for query results
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 Redash?

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

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

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

Related pipelines

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