Google PageSpeed Insights to Amazon Athena Integration
AI-first ETL from Google PageSpeed Insights into Amazon Athena. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google PageSpeed Insights into Amazon Athena
Datrise syncs Google PageSpeed Insights's audits, lab metrics, field metrics, opportunities, page URLs, and performance scores into Amazon Athena as partitioned Parquet in S3 exposed as an Athena table. Flexible or custom fields land in struct/map columns in Parquet, and timestamps such as created, updated, and status changes are typed as timestamp.
Sync is incremental: Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog, so re-runs update only what changed. Hive-style partitioning by load date so Athena scans only new data. Athena bills per byte scanned and small files hurt, so Datrise compacts to right-sized Parquet rather than many tiny objects.
Ideal for serverless SQL over an S3 lake without a running warehouse.
Endpoints
Google PageSpeed Insights: Page performance and Core Web Vitals audits.
Amazon Athena: Serverless SQL over S3 data lake tables.
How Google PageSpeed Insights entities map to Amazon Athena
| Google PageSpeed Insights entity | Amazon Athena object | Notes |
|---|---|---|
| audits | google_pagespeed_insights_audits | id PK · custom fields → struct/map columns in Parquet |
| lab metrics | google_pagespeed_insights_lab_metrics | id PK · linked to google_pagespeed_insights_audits |
| field metrics | google_pagespeed_insights_field_metrics | id PK · linked to google_pagespeed_insights_audits |
| opportunities | google_pagespeed_insights_opportunities | id PK · linked to google_pagespeed_insights_audits |
FAQ
How does Datrise handle Google PageSpeed Insights's custom fields in Amazon Athena?
Flexible values are stored as struct/map columns in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Athena types.
How does the Google PageSpeed Insights to Amazon Athena sync stay up to date?
It runs incrementally — Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog.
Related pipelines
More destinations for Google PageSpeed Insights
- Google PageSpeed Insights → Amazon S3 Data Lake
- Google PageSpeed Insights → Azure Data Lake Storage
- Google PageSpeed Insights → Azure Synapse
- Google PageSpeed Insights → Spreadsheets
- Google PageSpeed Insights → Airtable
- Google PageSpeed Insights → CSV Files
- Google PageSpeed Insights → MongoDB
- Google PageSpeed Insights → Supabase
- Google PageSpeed Insights → Neon
- Google PageSpeed Insights → PlanetScale
- Google PageSpeed Insights → Amazon DynamoDB
- Google PageSpeed Insights → Looker
More sources for Amazon Athena
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