BigQuery helps us remain a data driven team
March 17, 2024

BigQuery helps us remain a data driven team

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google BigQuery

We use BigQuery majorly for two purposes. Our data engineering team develops trends based on collected data over BigQuery. That helps us strategize our feature rollouts. The second use case where we make use of BigQuery is in our tests dashboard. We collect test success and failure data and use BigQuery to categorise different failures, calculate failure rates and show trend for errors after weekly releases.
  • Mining large data sets
  • Determining trends
  • Strategize product depending on the trends
  • It can be slow at times
  • Could be difficult for a first time user
  • Data driven approach is very helpful to our product
  • We have niche dashboards which give us health metric about our product

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?

I wasn't involved with the selection/purchase process

Did implementation of Google BigQuery go as expected?

I wasn't involved with the implementation phase

Would you buy Google BigQuery again?

Yes

Google BigQuery is suitable for use cases where there is a need for continuous data collection and one would want to mine that data, derive trends and behavioral data based on set parameters.

Google BigQuery Feature Ratings

Database scalability
9
Database security provisions
10
Monitoring and metrics
8