DatriseAI-first ETL

Google Pagespeed Insights Metabase

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

How Datrise loads Google Pagespeed Insights into Metabase

Datrise syncs Google Pagespeed Insights's records, events, and configuration objects into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

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

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How Google Pagespeed Insights entities map to Metabase

Google Pagespeed Insights entityMetabase objectNotes
recordsgoogle_pagespeed_insights_recordsid PK · custom fields → flattened columns for the question builder
eventsgoogle_pagespeed_insights_eventstemporal columns for trends events
configuration objectsgoogle_pagespeed_insights_configuration_objectsid PK · linked to google_pagespeed_insights_records

FAQ

How does Datrise handle Google Pagespeed Insights's custom fields in Metabase?

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

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

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

Related pipelines

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