BigQuery is a must for GA4 and Google Ads dashboarding!
Updated July 22, 2025

BigQuery is a must for GA4 and Google Ads dashboarding!

Francois Salvert | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google BigQuery

BigQuery is mainly used to store GA4 data. Google's ecosystem around analytics is becoming solid and well-documented. With BigQuery, we can use GA4 data to its fullest potential and add other datasets to give business owners a fuller view of their business metrics. BigQuery is also a great addition to either PowerBI or Looker to have more straightforward and more manageable dashboards since BigQuery can handle and centralize the data processing better than end-user tools.

Pros

  • Cost
  • Integration with GA4 and Google Ads.
  • User management and permissions.

Cons

  • Interface
  • Some features to schedule queries are a bit annoying to use, and you really need practice to use them well.
  • For analytics and dashboarding, BigQuery enables small businesses to achieve the same results as higher priced solution.
  • Easy to turn on and off. No need for a DBA to do simple tasks.
PowerBI can connect to GA4 for example but the data processing is more complicated and it takes longer to create dashboards. Azure is great once the data import has been configured but it's not an easy task for small businesses as it is with BigQuery.

Do you think Google BigQuery delivers good value for the price?

Yes

Are you happy with Google BigQuery's feature set?

Yes

Did Google BigQuery live up to sales and marketing promises?

Yes

Did implementation of Google BigQuery go as expected?

Yes

Would you buy Google BigQuery again?

Yes

For GA4 data storage, BigQuery is the way to go. Other solutions will definitely have benefits for full data warehousing, but for smaller businesses trying to make the most of their online data, BigQuery is the best option.

Google BigQuery Feature Ratings

Database-as-a-Service
7.3
Database scalability
8
Database security provisions
8
Monitoring and metrics
6

Using Google BigQuery

1 - Analyst
1 - Analyst with SQL knowledge. Need to understand data preparation and schemas to fully leverage BigQuery functions.
  • Store Google analytics data for detailed analysis
  • Merge web analytics data with offline or business objectives
  • Schedule queries to update user segmentation on a daily basis
  • In conjunction with Looker, business stakeholder are able to access complex data while investing little in IT resources.
  • User segmentation using predictive models available in BigQuery enabled quick business decision making.
So far, BigQuery is a solid solution for very little cost

Evaluating Google BigQuery and Competitors

  • Integration with Other Systems
Basically, its native integration with Google Analytics 4 and Looker made it the obvious choice

Comments

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