DatriseAI-first ETL

Google Search Console Domo

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

How Datrise loads Google Search Console into Domo

Datrise syncs Google Search Console's queries, pages, impressions, clicks, and index coverage 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 Search Console: Organic search performance and indexing insights.

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

How Google Search Console entities map to Domo

Google Search Console entityDomo objectNotes
queriesgoogle_search_console_queriesid PK · custom fields → flattened columns for Magic ETL
pagesgoogle_search_console_pagesid PK · linked to google_search_console_queries
impressionsgoogle_search_console_impressionsid PK · linked to google_search_console_queries
clicksgoogle_search_console_clicksid PK · linked to google_search_console_queries

FAQ

How does Datrise handle Google Search Console'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 Search Console to Domo sync stay up to date?

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

Related pipelines

Early access

Connect Google Search Console to Domo 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.