Supermetrics for Amazon Redshift
Connect Google Analytics 4 to Amazon Redshift — Event-Level Web Analytics
Load GA4 session, event, and conversion data into Amazon Redshift for web analytics with full SQL power.
Why Connect Google Analytics 4 to Amazon Redshift?
Warehouse your GA4 data in Amazon Redshift for unlimited historical analysis and cross-source SQL.
Unlimited retention with SORTKEY optimization
GA4 retains detailed data for 14 months. Redshift keeps it forever, with SORTKEY on date ensuring range scans over years of sessions complete in seconds. Columnar compression keeps storage costs minimal even for high-traffic properties.
Spectrum joins with raw GA4 export in S3
Already have GA4's native BigQuery export landing in S3? Query it alongside Supermetrics' flattened GA4 tables in Redshift via Spectrum — combine event-level depth with pre-aggregated session data in a single SQL statement.
QuickSight web analytics dashboards
Feed GA4 session data directly into Amazon QuickSight for interactive web analytics dashboards. QuickSight's SPICE engine caches Redshift results for sub-second dashboard loads across your team.
How to Connect Google Analytics 4 to Amazon Redshift
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and Amazon Redshift as your destination.
- 2
Authorize and configure
Connect your data source account, provide your Redshift cluster endpoint and credentials, choose your schema, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into Redshift via S3 COPY automatically.
Google Analytics 4 Data Schema in Amazon Redshift
Supermetrics creates and maintains clean, typed tables automatically. Here's what your GA4 data looks like in Amazon Redshift.
Data Freshness & Scheduling
GA4 data is typically available in Redshift within 4-8 hours of the reporting period end.
What Google Analytics 4 Data Can You Pull into Amazon Redshift?
Supermetrics gives Amazon Redshift access to your full GA4 reporting data — metrics and dimensions you already know from the GA4 interface.
Key Metrics
- Sessions
- Users
- New users
- Active users
- Views
- Engagement rate
- Average engagement time
- Bounce rate
- Conversions
- Conversion rate
- Revenue
- Event value
- Event count
- Transactions
- Ecommerce purchases
Key Dimensions
- Page path
- Source / Medium
- Campaign
- Channel group
- Device category
- Browser
- Country
- City
- Landing page
- Referrer
- Event name
Resources & Guides
Why Supermetrics for Amazon Redshift?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in Amazon Redshift — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Incremental Loading
Only new and updated Google Analytics 4 records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Google Analytics 4 data as you need without worrying about cost spikes.
Unsampled Data
Get your complete Google Analytics 4 dataset without sampling. Every session, every keyword, every page — full-fidelity data for accurate analysis.
Frequently Asked Questions
How do I connect Google Analytics 4 to Amazon Redshift with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Google Analytics 4 as your source and Amazon Redshift as the destination. Authorize your Google Analytics 4 account, provide your Redshift cluster endpoint and credentials, choose your target schema and table naming conventions, select the fields you need, set a schedule, and start the transfer. Supermetrics loads data using optimized S3 COPY commands — the same high-throughput path AWS recommends for bulk ingestion — so no custom ETL pipelines, AWS Glue jobs, or staging buckets are required.
Is my Google Analytics 4 data secure when transferring to Amazon Redshift?
Supermetrics is SOC 2 Type II certified and GDPR compliant. All Google Analytics 4 credentials are encrypted at rest and in transit using TLS 1.2+. Data flows directly from the Google Analytics 4 API to your Redshift cluster — Supermetrics never stores your marketing data on its own servers. On the AWS side, your VPC isolation keeps the cluster off the public internet, IAM policies restrict which roles can access the data, and S3 server-side encryption protects any intermediate staging objects. You retain full control of your security perimeter.
Can I combine Google Analytics 4 data with other sources in Amazon Redshift?
Absolutely — cross-source analysis is where Redshift shines in the AWS ecosystem. Once Google Analytics 4 data lands in your cluster, you can JOIN it with any other table in the same schema. Need to enrich it with raw event logs or clickstream data sitting in S3? Redshift Spectrum lets you query those external files directly without loading them, so your cluster stays lean while your analysis spans petabytes. Supermetrics supports 170+ data sources that all land in the same Redshift schema, and you can optimize JOIN performance further with DISTKEY and SORTKEY settings on frequently queried columns.
What Google Analytics 4 metrics and dimensions are available in Amazon Redshift?
All standard Google Analytics 4 reporting fields are available, including Sessions, Users, New users, Active users, Views, Engagement rate, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data already loaded into Redshift. Because Redshift uses columnar storage, queries that scan only a few selected metrics out of a wide table are extremely fast — the engine skips unneeded columns at the disk level, reducing I/O and keeping your analytics snappy.
How fresh is Google Analytics 4 data in Amazon Redshift?
Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, or weekly transfers into Redshift. Most teams schedule daily transfers so yesterday's final numbers are ready each morning. Incremental loading means only new and changed records are written via optimized S3 COPY commands, keeping cluster load minimal. If you define a SORTKEY on your date column, Redshift can skip entire disk blocks during time-range queries, making your morning dashboards in QuickSight or Tableau load in seconds.
Does the GA4 connector support custom events?
Yes. All standard and custom GA4 events, including custom conversion events, are available for transfer into Redshift.
Can I query multiple GA4 properties in the same Redshift schema?
Yes. Connect multiple GA4 properties through Supermetrics and load them into the same Redshift schema with a property identifier column.
Also Connect to Amazon Redshift
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