Google Analytics → Amazon Redshift
AI-first ETL from Google Analytics into Amazon Redshift. Governed entities, incremental sync, typed landing tables.
How Datrise loads Google Analytics into Amazon Redshift
Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts 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: Web and product analytics for behavior and traffic insights.
Amazon Redshift: AWS petabyte-scale warehouse with Spectrum.
How Google Analytics entities map to Amazon Redshift
| Google Analytics entity | Amazon Redshift object | Notes |
|---|---|---|
| sessions | google_analytics_sessions | id PK · custom fields → SUPER columns |
| events | google_analytics_events | TIMESTAMPTZ events |
| channels | google_analytics_channels | id PK · linked to google_analytics_sessions |
| conversions | google_analytics_conversions | id PK · linked to google_analytics_sessions |
FAQ
How does Datrise handle Google Analytics'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 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
- Google Analytics → Databricks SQL Warehouse
- Google Analytics → ClickHouse
- Google Analytics → DuckDB
- Google Analytics → Amazon Athena
- Google Analytics → Amazon S3 Data Lake
- Google Analytics → Azure Data Lake Storage
- Google Analytics → Azure Synapse
- Google Analytics → Spreadsheets
- Google Analytics → Airtable
- Google Analytics → CSV Files
- Google Analytics → MongoDB
- Google Analytics → Supabase
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Early access
Connect Google Analytics to Amazon Redshift 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.