Google Pagespeed Insights → Neon
AI-first ETL from Google Pagespeed Insights into Neon. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Pagespeed Insights into Neon
Datrise syncs Google Pagespeed Insights's records, events, and configuration objects 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
Google Pagespeed Insights: SaaS or API data source for analytics and warehouse sync.
Neon: Serverless Postgres destination with branching and autoscaling.
How Google Pagespeed Insights entities map to Neon
| Google Pagespeed Insights entity | Neon object | Notes |
|---|---|---|
| records | google_pagespeed_insights_records | id PK · custom fields → jsonb columns |
| events | google_pagespeed_insights_events | timestamptz events |
| configuration objects | google_pagespeed_insights_configuration_objects | id PK · linked to google_pagespeed_insights_records |
FAQ
How does Datrise handle Google Pagespeed Insights'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 Google Pagespeed Insights 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
More destinations for Google Pagespeed Insights
- Google Pagespeed Insights → PlanetScale
- Google Pagespeed Insights → Amazon DynamoDB
- Google Pagespeed Insights → Looker
- Google Pagespeed Insights → Looker Studio
- Google Pagespeed Insights → Microsoft Power BI
- Google Pagespeed Insights → Tableau
- Google Pagespeed Insights → Apache Superset
- Google Pagespeed Insights → Metabase
- Google Pagespeed Insights → Amazon QuickSight
- Google Pagespeed Insights → Domo
- Google Pagespeed Insights → Sisense
- Google Pagespeed Insights → ThoughtSpot
Early access
Connect Google Pagespeed Insights to Neon 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.