YouTube Analytics to Domo Integration

How Datrise loads YouTube Analytics into Domo

Datrise syncs YouTube Analytics's videos, channels, views, watch time, subscribers, and traffic sources 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

YouTube Analytics: Channel and video performance reporting.

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

How YouTube Analytics entities map to Domo

YouTube Analytics entity	Domo object	Notes
videos	`youtube_analytics_videos`	id PK · custom fields → flattened columns for Magic ETL
channels	`youtube_analytics_channels`	id PK · linked to youtube_analytics_videos
views	`youtube_analytics_views`	id PK · linked to youtube_analytics_videos
watch time	`youtube_analytics_watch_time`	id PK · linked to youtube_analytics_videos

FAQ

How does Datrise handle YouTube Analytics'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 YouTube Analytics 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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