YouTube Analytics to Redash Integration

How Datrise loads YouTube Analytics into Redash

Datrise syncs YouTube Analytics's videos, channels, views, watch time, subscribers, and traffic sources into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

YouTube Analytics: Channel and video performance reporting.

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How YouTube Analytics entities map to Redash

YouTube Analytics entity	Redash object	Notes
videos	`youtube_analytics_videos`	id PK · custom fields → flattened columns for query results
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 Redash?

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

How does the YouTube Analytics to Redash sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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