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  • Product
    • First-party trackingFirst-party tracking

      Powerful server-side solution for collect and connect customer data

    • Marketing ETLMarketing ETL

      Create secure customer’s data pipelines to any data warehouses

  • Resources
    • BlogBlog

      Stories on how to use customer data for company growth

    • DocumentationDocumentation

      Learn how to install, set up, and use Renta tools.

  • Pricing
  • Connectors
Log in
Contact sales
Sign up
Renta
Marketing ETL
Google Analytics 4 to Databricks

ETL Google Analytics 4 data to Databricks

Start free trial

Free for 7 days. No credit card required.

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.
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Google Analytics 4 is a powerful tool for tracking user behavior and marketing performance.
Renta Marketing ELT seamlessly connects GA4 to Databricks, enabling automated, reliable data transfers for advanced analytics.
Unlock deeper insights and empower your team with up-to-date, actionable data in your preferred cloud environment.

Set up your ELT pipeline in 3 simple steps

Select Google Analytics 4 as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Google Analytics 4 as the data source in Renta.
1Connect your source

Select Google Analytics 4 as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Google Analytics 4 as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the Google Analytics 4 API

Renta supports 7 methods of data export using the Google Analytics 4 API.

Properties

Represents individual Google Analytics 4 properties, containing configuration details and metadata for each tracked website or app.

RunReport

Generates customized reports by querying event-level and user-level data, allowing users to retrieve metrics and dimensions for analysis.

RunRealtimeReport

Provides real-time analytics by returning up-to-the-minute event and user data for a given property, supporting immediate insights and monitoring.

Dimensions

Lists available dimensions that can be used in reports, defining the attributes (such as event name, device category, or location) by which data can be segmented.

Metrics

Lists available metrics that can be used in reports, representing quantitative measurements such as event count, active users, or engagement time.

UserActivity

Retrieves a detailed history of user interactions within a property, enabling analysis of individual user journeys and behavior.

AudienceExports

Exports audience membership data, allowing users to analyze or activate specific audience segments defined within a property.

Use cases

Unlock actionable Google Analytics 4 insights

  • Blend GA4 user journeys with sales data to pinpoint high-value customer segments
  • Automate anomaly detection in web traffic using Databricks machine learning models
  • Correlate marketing spend with GA4 conversion rates for ROI optimization
  • Enrich GA4 event data with product inventory for real-time demand forecasting
  • Visualize multi-channel attribution by merging GA4 and CRM datasets in Databricks
  • Predict churn by analyzing GA4 engagement metrics alongside support ticket trends
Start free trialNo credit card required
Use cases: Google Analytics 4 and Databricks integration
TEMPLATES

Start quickly with these use case templates

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Google BigQuery

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Google Sheets
Snowflake

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Facebook
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Frequently asked questions
Reliable data ingestion for your Modern Data Stack

Free for 7 days. No credit card required.

Automate extraction from 100+ connections. 99.9% Uptime SLA.

Product
  • Marketing ETL
  • First-party data streaming
Popular connectors
  • Salesforce → Bigquery
  • Google Ads → Bigquery
  • Facebook Ads → Bigquery
  • Facebook Ads → Snowflake
  • Google Sheets → Bigquery
  • Google Sheets → Snowflake
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  • How to load LinkedIn Ads data into Google BigQuery

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