YouTube Analytics to PlanetScale Integration
AI-first ETL from YouTube Analytics into PlanetScale. Governed entities, incremental sync, typed landing tables.
How Datrise loads YouTube Analytics into PlanetScale
Datrise syncs YouTube Analytics's videos, channels, views, watch time, subscribers, and traffic sources into PlanetScale as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME.
Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Vitess sharding by tenant or entity key for very large tables. PlanetScale disallows foreign-key constraints by default, so Datrise models relationships by stable id columns rather than enforced FKs.
Ideal for horizontally scalable MySQL apps on Vitess.
Endpoints
YouTube Analytics: Channel and video performance reporting.
PlanetScale: Serverless MySQL platform with safe schema workflows.
How YouTube Analytics entities map to PlanetScale
| YouTube Analytics entity | PlanetScale object | Notes |
|---|---|---|
| videos | youtube_analytics_videos | id PK · custom fields → JSON 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 PlanetScale?
Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PlanetScale types.
How does the YouTube Analytics to PlanetScale sync stay up to date?
It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE.
Related pipelines
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Early access
Connect YouTube Analytics to PlanetScale 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.