Google BigQuery: Slow Learning Curve
February 15, 2019

Google BigQuery: Slow Learning Curve

Anonymous | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google BigQuery

In our organization, Google BigQuery is for storing very large data which is created within seconds. We log each and every event done by any user. We also log data like payment status, order status, and user address details. Basically, all of the information is logged. To sort through it we are using BigQuery as it is fast and provides data to us within miliseconds.
  • It is faster than the product we use for our websites, MySQL.
  • Can query millions of rows within seconds and can give you the data very fast.
  • Documentation should be detailed. I had a very hard time learning it. My seniors are also facing so many hurdles while using this.
  • No proper flow is mentioned in the docs about how to use this product. We faced so many errors at different stages.
  • ROI is very small although it's positive. Still, I am not happy with this product as it took five to six days to understand the flow of the product and how to implement it into our project, whereas other database systems would have taken one to two days.
It is much faster than MySQL so it is responsible for handling our log data which have millions of records.
Google BigQuery is well suited for millions of records as you can run a query in milliseconds. It is less appropriate for small scale organizations which are dealing with a smaller amount of data.

Google BigQuery Feature Ratings

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