How to get started with our Google Analytics to Amazon S3 integration

1

Enter your Google Analytics credentials to create a connection.

Connection docs
2

Select a predefined report or specific data to extract from.

Walkthrough
3

Select Amazon S3 as your target and start loading your data.

Connection docs

See Google Analytics to Amazon S3 in action

Everything you need to simplify advanced data integration

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Zero Infrastructure to Manage

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Managed SQL/Python Modeling

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Predictable Value-Based Pricing

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Reduced Data Development Waste

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No-Code Any Data Ingestion

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Efficient Database Replication

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Infinite Scale

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Integrated Data Activation

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Proactive Troubleshooting

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Greg Robinson

Staff Data Scientist

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"Before, we'd have to do an API integration with a bunch of data engineers to get a single data source into a data warehouse. It took a really long time, was very, very expensive and it was prone to human error. Now, we've dramatically cut all that down with Rivery."

FAQ

How often does the Google Analytics API update?

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.

Why extract data from Google Analytics?

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.

How can I use Rivery’s data connectors?

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.

Do data connectors comply with GDPR?

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.

What are the most popular data connectors?

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.

How does Rivery extract data from database integrations?

Rivery supports both CDC database replication and Standard SQL extraction so you can choose the method that works best for you. Learn more here.

Power up your data integration

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