Google PageSpeed Insights to Microsoft SQL Server Integration

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

How Datrise loads Google PageSpeed Insights into Microsoft SQL Server

Datrise syncs Google PageSpeed Insights's audits, lab metrics, field metrics, opportunities, page URLs, and performance scores into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

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

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Google PageSpeed Insights entities map to Microsoft SQL Server

Google PageSpeed Insights entity	Microsoft SQL Server object	Notes
audits	`google_pagespeed_insights_audits`	id PK · custom fields → NVARCHAR(MAX) JSON 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 Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the Google PageSpeed Insights to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

More destinations for Google PageSpeed Insights

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