DatriseAI-first ETL

Google Pagespeed Insights Domo

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

How Datrise loads Google Pagespeed Insights into Domo

Datrise syncs Google Pagespeed Insights's records, events, and configuration objects into Domo as datasets in Domo's cloud store via connector. Flexible or custom fields land in flattened columns for Magic ETL, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses partitioned dataset updates rather than full replaces, so re-runs update only what changed. Domo dataset partitions keyed on load date. Domo stores its own copy of data, so Datrise sends incremental partitions to avoid re-uploading whole datasets.

Ideal for all-in-one cloud BI with built-in ETL.

Endpoints

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

Domo: Cloud BI platform combining data integration and executive dashboards.

How Google Pagespeed Insights entities map to Domo

Google Pagespeed Insights entityDomo objectNotes
recordsgoogle_pagespeed_insights_recordsid PK · custom fields → flattened columns for Magic ETL
eventsgoogle_pagespeed_insights_eventsdate/time columns 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 Domo?

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

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

It runs incrementally — Datrise uses partitioned dataset updates rather than full replaces.

Related pipelines

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