For best value for your buck go for Google BigQuery
January 02, 2026

For best value for your buck go for Google BigQuery

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google BigQuery

We use Google BigQuery as our central analytical data warehouse to power large-scale event analytics in the form of event tracking and querying, product performance measurement in form of north star metric tracking, and business decision-making. Google BigQuery enables us to store, process, and analyze high-volume, high-velocity event data with low latency and strong reliability

Pros

  • Large-Scale Event Analytics
  • Funnel and Conversion Analysis
  • Product & Platform Metrics

Cons

  • Query Cost Predictability
  • Debugging and Error Diagnostics for Complex SQL
  • Limited Native Support for Funnel and Session Analytics
  • it drastically reduced event storage cost
  • after incorporating Google BigQuery it is easier to loop into Looker Studio for reporting
  • ease of access to large data sets

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

It is well suited where the data flow is asynchronous and the tracking/reporting queries are expected in quick succession, it allows us to spontaneously edit form and export it in required format. the situation where we mostly use Google BigQuery are as seamless as it can get, I am yet to encounter a situation where I won't recommend Google BigQuery

Google BigQuery Feature Ratings

Database-as-a-Service
10.0
Database scalability
10
Database security provisions
10
Monitoring and metrics
10

Comments

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