Google Analytics integration
Google Analytics data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.sessions
type: ingestr
parameters:
source_connection: google_analytics_4
source_table: 'sessions'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/google_analytics.asset.yml
- extract · Google Analytics sessionsincremental
- load · snowflake raw.sessionsmerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
Google's web analytics service providing detailed website traffic analysis, user behavior tracking, and digital marketing performance insights.
- 01
Add a Google Analytics 4 connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Connection parameters
- credentials_path
- Path to Google service account JSON file
- property_id
- Google Analytics 4 property ID
Tables
5 tables, ready to load.
sessionsuserseventsconversionsaudience_demographics
Step-by-step
Pick a destination.
Google Analytics → Snowflake
Read the guide
Google Analytics → Google BigQuery
Read the guide
Google Analytics → Databricks
Read the guide
Google Analytics → Amazon Redshift
Read the guide
Google Analytics → PostgreSQL
Read the guide
Google Analytics → ClickHouse
Read the guide
Google Analytics → DuckDB
Read the guide
Google Analytics → MotherDuck
Read the guide
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionProduct analytics
More tools, same category.
Frequently asked
Questions about Google Analytics.
Does Bruin have a built-in Google Analytics integration?
Yes. Built-in ingestr source.
Which Google Analytics tables can Bruin load?
sessions, users, events, conversions, audience_demographics.
Where can Google Analytics data go?
Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect Google Analytics?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.