Google BigQuery Review
March 17, 2024

Google BigQuery Review

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

Overall Satisfaction with Google BigQuery

The scope of my use case is data governance relevant. My organization uses Google big query as the primary tool for storing, reading, updating and analyzing data. Due to the big size of the organization, we have an increasing number of data consumers and my specific use case is to provide a data control panel to make sure the data is being used properly according to the data Governance policies.
  • Reading and analyzing data
  • Easy access management through GCP
  • Export data easily to further tools such lookers and spreadsheets
  • Query size warning
  • Limitations to daily usage
  • Best practices recommendations
  • Usage optimization
  • Cost reduction
  • Data discovery
I personally find it by far simpler than Amazon Redshift due it's onboarding seamlessness. For a quick start and simplify tye access to read the data big query provide better user experience and a smoother user interface. More importantly, the fact that Big Query can be easily integrated with Looker Studio for visualisations. Query data and visualizing has never been easier.

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?

Yes

Would you buy Google BigQuery again?

Yes

Google big query is perfect for simple and fast use-cases where users need to access data quickly and and seamless. GCP IAM makes it easy to have a control on who can access the data and and provides services accounts to automate jobs. Which then makes it easy to have an overview on th data consumption.

Google BigQuery Feature Ratings

Database scalability
8
Database security provisions
5
Monitoring and metrics
7