YouTube Analytics to Supabase Integration
AI-first ETL from YouTube Analytics into Supabase. Governed entities, incremental sync, typed landing tables.
How Datrise loads YouTube Analytics into Supabase
Datrise syncs YouTube Analytics's videos, channels, views, watch time, subscribers, and traffic sources into Supabase as a typed table per source entity in your Supabase Postgres. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.
Ideal for app builders who want CRM data alongside their Supabase product data.
Endpoints
YouTube Analytics: Channel and video performance reporting.
Supabase: Postgres platform with auth, storage, and realtime APIs.
How YouTube Analytics entities map to Supabase
| YouTube Analytics entity | Supabase object | Notes |
|---|---|---|
| videos | youtube_analytics_videos | id PK · custom fields → jsonb columns |
| 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 Supabase?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Supabase types.
How does the YouTube Analytics to Supabase sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for YouTube Analytics
- YouTube Analytics → Neon
- YouTube Analytics → PlanetScale
- YouTube Analytics → Amazon DynamoDB
- YouTube Analytics → Looker
- YouTube Analytics → Looker Studio
- YouTube Analytics → Microsoft Power BI
- YouTube Analytics → Tableau
- YouTube Analytics → Apache Superset
- YouTube Analytics → Metabase
- YouTube Analytics → Amazon QuickSight
- YouTube Analytics → Domo
- YouTube Analytics → Sisense
More sources for Supabase
Early access
Connect YouTube Analytics to Supabase the easy way
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