Google PageSpeed Insights to MicroStrategy Integration

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

How Datrise loads Google PageSpeed Insights into MicroStrategy

Datrise syncs Google PageSpeed Insights's audits, lab metrics, field metrics, opportunities, page URLs, and performance scores into MicroStrategy as warehouse tables for MicroStrategy's schema objects. 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 warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

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

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Google PageSpeed Insights entities map to MicroStrategy

Google PageSpeed Insights entity	MicroStrategy object	Notes
audits	`google_pagespeed_insights_audits`	id PK · custom fields → flattened columns
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 MicroStrategy?

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 MicroStrategy types.

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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