ETL from Google Analytics to Amazon S3 in a few clicks
- Leverage Google Analytics data in Amazon S3 for advanced analytics
- Build scalable, production-ready data pipelines in hours, not days
- Extract data from Google Analytics and load into Amazon S3 without code
- Complete your entire ELT pipeline with SQL or Python transformations
- Centralize Google Analytics data in Amazon S3 for unified access and analytics
How to get started with our Google Analytics to Amazon S3 integration
See Google Analytics to Amazon S3 in action
Ready-Made Data Model Starter Kits with Amazon S3
Everything you need to simplify advanced data integration
Zero Infrastructure to Manage
Managed SQL/Python Modeling
Predictable Value-Based Pricing
Reduced Data Development Waste
No-Code Any Data Ingestion
Efficient Database Replication
Infinite Scale
Integrated Data Activation
Proactive Troubleshooting
Bring all your data together. Integrate data from anywhere
Greg Robinson
Staff Data Scientist
Load Google Analytics to any data lake or warehouse
FAQ
The Google Analytics API updates at least once a quarter and you should subscribe to the Google Analytics API notification group to ensure you stay up to date.
Rivery manages the Google Analytics integration for you, so you don’t need to worry about API upgrades breaking your data pipelines. Rivery will continually maintain the integration with the latest API versions. Most upgrades would be seamless requiring no action on your end. If any API version change requires your attention — like added, removed, or modified reports/data fields that you may be using — Rivery will notify you ahead of time with the details and any possible actions required.
Extracting data from Google Analytics allows businesses to analyze website traffic, user behavior, and conversion metrics. By combining Google Analytics data with other data sources such as CRM or sales data, companies can gain deeper insights into customer journeys, optimize marketing strategies, and enhance website performance based on real-time visitor interactions.
Using Rivery’s data connectors is very straightforward. Just enter your credentials, define the target you want to load the data into (i.e. Snowflake, BigQuery, Databricks or any data lake and auto map the schema to generate on the target end. You can control the data you need to extract from the source and how often to sync your data. To learn more follow the specific docs.
Yes. All data connectors within Rivery comply with the highest security and privacy standards, including: GDPR, HIPPA, SOC2 and ISO 27001. In addition, when the data flows into your target data warehouse, you can configure it to do so via your own cloud files system vs. Rivery.
The most popular data connectors are for use cases like marketing, sales and finance. These include Salesforce, HubSpot, Google Analytics, Google Ads, LinkedIn Ads, Facebook Ads, TikTok and more.
Rivery supports both CDC database replication and Standard SQL extraction so you can choose the method that works best for you. Learn more here.