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REAL-TIME ETL & CDC

Move your data from Google Analytics 4 Bigquery Exports with your free account

Continuously capture streaming and batch change data from Google Analytics 4 Bigquery Exports and deliver it to any destination using Estuary's pre-built no-code connectors.

  • <100ms Data pipelines
  • 200+ Connectors
  • 2-5x less than batch ELT
01. Move from Google Analytics 4 Bigquery Exports02. Transform in-flight03. Select a destination
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Google Analytics 4 Bigquery Exports connector details

The Google Analytics 4 BigQuery Exports capture connector in Estuary captures GA4 data from the daily export tables created in BigQuery and loads it into Estuary collections. It supports GA4 event, user, and pseudonymous user data, making it useful for moving analytics data into warehouses, databases, and other downstream systems for reporting, modeling, and analysis.

  • Captures GA4 daily BigQuery export tables for events, users, and pseudonymous users
  • Automatic discovery of GA4 export datasets and supported stream types
  • Scheduled polling, with a default daily capture schedule that can be customized
  • Handles late-arriving GA4 events by re-capturing recent daily tables within a configurable window
  • Configurable minimum date to limit the amount of historical data scanned during the initial backfill
  • Service Account or Google Cloud IAM authentication for secure access to BigQuery

By default, the connector maintains a four-day live window so it can capture late-arriving events that GA4 may add to recent daily tables. You can also adjust the polling schedule and live-window behavior based on freshness and BigQuery scan-cost requirements.

For more details about the Google Analytics 4 Bigquery Exports connector, check out the documentation page.

How to connect Google Analytics 4 Bigquery Exports to your destination in 3 easy steps

  1. 1

    Connect Google Analytics 4 Bigquery Exports as your data source

    Securely connect Google Analytics 4 Bigquery Exports and choose the objects, tables, or collections you need to sync.

  2. 2

    Prepare and transform your data

    Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.

  3. 3

    Sync to your destination

    Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.

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All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.

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HIGH THROUGHPUT

Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

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DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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REAL-TIME INGESTION

Capture and relay every insert, update, and delete in milliseconds.

Real-timehigh throughput

Point a connector and replicate changes from Google Analytics 4 Bigquery Exports in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 200+ of batch and real-time connectors to move and transform data using ELT and ETL.

  • Ensure your Google Analytics 4 Bigquery Exports insights always reflect the latest data by connecting your databases to Google Analytics 4 Bigquery Exports with change data capture.
  • Or connect critical SaaS apps to Google Analytics 4 Bigquery Exports with real-time data pipelines.

See how you can integrate Google Analytics 4 Bigquery Exports with any destination:

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or choose from these popular data sources:

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Feature Comparison

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh
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Popular sources/destinations you can sync your data with

Choose from more than 100 supported databases and SaaS applications. Click any source/destination below to open the integration guide and learn how to sync your data in real time or batches.