YouTube Analytics to Neon Integration

How Datrise loads YouTube Analytics into Neon

Datrise syncs YouTube Analytics's videos, channels, views, watch time, subscribers, and traffic sources into Neon as a typed table per source entity. 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 by load date. Neon separates compute from storage, so Datrise batches writes to keep autoscaling compute from cold-starting on every small change.

Ideal for serverless Postgres workloads that scale to zero between syncs.

Endpoints

YouTube Analytics: Channel and video performance reporting.

Neon: Serverless Postgres destination with branching and autoscaling.

How YouTube Analytics entities map to Neon

YouTube Analytics entity	Neon 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 Neon?

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 Neon types.

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

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

Early access

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