THE tool you need to improve your business
Jose F. Gomez | TrustRadius Reviewer
January 18, 2020

THE tool you need to improve your business

Score 10 out of 10
Vetted Review
Verified User
Review Source

Overall Satisfaction with Google BigQuery

Google BigQuery is being used as a data warehousing tool so that we can run analytics and calculate business metrics on our data. It’s very comprehensive and powerful yet provides tools to simplify recurrent queries on the data that makes working with it easy enough. We like that it’s a place where multiple people from interdisciplinary teams can converge on the data and work on finding ways to improve and better understand our business.
  • It provides a central data storage regardless of the data source.
  • It features functionality that makes it easy to store and re-run queries.
  • It can be overwhelming to non-technical users at first.
  • You can easily get confused as to what to do to start if not familiarized with the workflow.
  • It helped us define a structured process for data analytics.
  • Simplified the decision of where to store our data.
It’s Google, they’re big and well organized, the documentation is abundant and the scalability is amazing. The UX is good too, considering it’s a professional tool expected to be used by people with a specific technical background. Overall, it makes me feels good and secure that we know where to store the data, how to use that data and that the data is handled with utmost security and performance practices.

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Google BigQuery is an especially powerful tool for teams running a business that collects data in multiple tools and want to have a place to centralize all of the data for process analysis. Teams that want to learn the insights of every aspect of their processes and their performance can store their processes data in Google BigQuery and then create queries and store them as needed then run experiments or test scenarios and measure outcomes easily.

Google BigQuery Feature Ratings

Automatic software patching
Not Rated
Database scalability
Automated backups
Not Rated
Database security provisions
Monitoring and metrics