DatriseAI-first ETL

Google Pagespeed Insights DuckDB

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

How Datrise loads Google Pagespeed Insights into DuckDB

Datrise syncs Google Pagespeed Insights's records, events, and configuration objects into DuckDB as a typed table per source entity in a DuckDB file. Flexible or custom fields land in JSON or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP WITH TIME ZONE.

Sync is incremental: Datrise uses rewrites changed entities into the local database (or Parquet) on each run, so re-runs update only what changed. Hive-partitioned Parquet by load date when exporting. DuckDB is single-writer and embedded, so Datrise produces a consistent file snapshot rather than concurrent streaming writes.

Ideal for local and notebook analytics without standing up a server.

Endpoints

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

DuckDB: In-process analytics database for fast local OLAP.

How Google Pagespeed Insights entities map to DuckDB

Google Pagespeed Insights entityDuckDB objectNotes
recordsgoogle_pagespeed_insights_recordsid PK · custom fields → JSON or STRUCT columns
eventsgoogle_pagespeed_insights_eventsTIMESTAMP WITH TIME ZONE 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 DuckDB?

Flexible values are stored as JSON or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native DuckDB types.

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

It runs incrementally — Datrise uses rewrites changed entities into the local database (or Parquet) on each run.

Related pipelines

Early access

Connect Google Pagespeed Insights to DuckDB 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.