Google PageSpeed Insights to Apache Superset Integration
AI-first ETL from Google PageSpeed Insights into Apache Superset. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google PageSpeed Insights into Apache Superset
Datrise syncs Google PageSpeed Insights's audits, lab metrics, field metrics, opportunities, page URLs, and performance scores into Apache Superset as governed SQL tables Superset queries directly. Flexible or custom fields land in flattened columns for the explore UI, and timestamps such as created, updated, and status changes are typed as temporal columns for time-series charts.
Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned tables to keep dashboards responsive. Superset charts run live SQL, so Datrise lands query-friendly, indexed tables rather than wide raw payloads.
Ideal for open-source dashboards over your own database.
Endpoints
Google PageSpeed Insights: Page performance and Core Web Vitals audits.
Apache Superset: Open-source BI for SQL exploration, charts, and dashboard publishing.
How Google PageSpeed Insights entities map to Apache Superset
| Google PageSpeed Insights entity | Apache Superset object | Notes |
|---|---|---|
| audits | google_pagespeed_insights_audits | id PK · custom fields → flattened columns for the explore UI |
| lab metrics | google_pagespeed_insights_lab_metrics | id PK · linked to google_pagespeed_insights_audits |
| field metrics | google_pagespeed_insights_field_metrics | id PK · linked to google_pagespeed_insights_audits |
| opportunities | google_pagespeed_insights_opportunities | id PK · linked to google_pagespeed_insights_audits |
FAQ
How does Datrise handle Google PageSpeed Insights's custom fields in Apache Superset?
Flexible values are stored as flattened columns for the explore UI, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Apache Superset types.
How does the Google PageSpeed Insights to Apache Superset sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the queried tables.
Related pipelines
More destinations for Google PageSpeed Insights
- Google PageSpeed Insights → Metabase
- Google PageSpeed Insights → Amazon QuickSight
- Google PageSpeed Insights → Domo
- Google PageSpeed Insights → Sisense
- Google PageSpeed Insights → ThoughtSpot
- Google PageSpeed Insights → Qlik
- Google PageSpeed Insights → Mode
- Google PageSpeed Insights → Redash
- Google PageSpeed Insights → Chartio
- Google PageSpeed Insights → Holistics
- Google PageSpeed Insights → Birst
- Google PageSpeed Insights → GoodData
More sources for Apache Superset
- Greenhouse → Apache Superset
- Gridly → Apache Superset
- Harness → Apache Superset
- Harvest Forecast → Apache Superset
- Heap → Apache Superset
- Hellobaton → Apache Superset
- Heroku → Apache Superset
- PostgreSQL → Apache Superset
- Hubplanner → Apache Superset
- Impact → Apache Superset
- Import API → Apache Superset
- Instagram → Apache Superset
Early access
Connect Google PageSpeed Insights to Apache Superset the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.