Google Analytics 4 to Amazon Redshift Integration
AI-first ETL from Google Analytics 4 into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics 4 into Amazon Redshift
Datrise syncs Google Analytics 4's events, users, sessions, traffic sources, conversions, and audiences into Amazon Redshift as a typed table per source entity. Flexible or custom fields land in SUPER columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMPTZ.
Sync is incremental: Datrise uses COPY from staged files, then a delete-and-insert merge on stable id, so re-runs update only what changed. A DISTKEY on the join id and a SORTKEY on the load timestamp. Redshift performance hinges on dist/sort keys, so Datrise picks them from your entity ids and sync timestamps rather than defaulting to EVEN distribution.
Ideal for AWS-native warehouses already using the Redshift ecosystem.
Endpoints
Google Analytics 4: Event-based web and app analytics from Google.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Google Analytics 4 entities map to Amazon Redshift
| Google Analytics 4 entity | Amazon Redshift object | Notes |
|---|---|---|
| events | ga4_events | TIMESTAMPTZ events |
| users | ga4_users | id PK · linked to ga4_events |
| sessions | ga4_sessions | id PK · linked to ga4_events |
| traffic sources | ga4_traffic_sources | id PK · linked to ga4_events |
FAQ
How does Datrise handle Google Analytics 4's custom fields in Amazon Redshift?
Flexible values are stored as SUPER columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Amazon Redshift types.
How does the Google Analytics 4 to Amazon Redshift sync stay up to date?
It runs incrementally — Datrise uses COPY from staged files, then a delete-and-insert merge on stable id.
Related pipelines
More destinations for Google Analytics 4
- Google Analytics 4 → Databricks SQL Warehouse
- Google Analytics 4 → ClickHouse
- Google Analytics 4 → DuckDB
- Google Analytics 4 → Amazon Athena
- Google Analytics 4 → Amazon S3 Data Lake
- Google Analytics 4 → Azure Data Lake Storage
- Google Analytics 4 → Azure Synapse
- Google Analytics 4 → Spreadsheets
- Google Analytics 4 → Airtable
- Google Analytics 4 → CSV Files
- Google Analytics 4 → MongoDB
- Google Analytics 4 → Supabase
More sources for Amazon Redshift
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- Genesys → Amazon Redshift
- GitHub Webhook → Amazon Redshift
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- GNews → Amazon Redshift
- GoCardless → Amazon Redshift
- Gong → Amazon Redshift
- Google Cloud SQL → Amazon Redshift
- Google Cloud Storage → Amazon Redshift
- Google Directory → Amazon Redshift
- Google Ecommerce → Amazon Redshift
- Google PageSpeed Insights → Amazon Redshift
Early access
Connect Google Analytics 4 to Amazon Redshift the easy way
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