Big Query, very powerful in the right context.
March 14, 2024

Big Query, very powerful in the right context.

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google BigQuery

As a supplement solution to the main enterprise systems for reporting, it is mostly used for the R&D department. The aim was to query rather diverse and semi-structured data from various systems. Some of the sources were wide, some deep and a few were both. Other tools for storing and querying were tried as well.
  • Good python package.
  • SQL knowledge goes a long way though some peculiars are confusing.
  • Make it more simple to administrate login from python.
  • Difficult to estimate cost prior.
  • Was chosen to lift a requirement that was otherwise difficult to achieve.
  • More expensive than initially estimated.
We focused more on data volume and less on full application capabilities. All in all, we found that the two solutions complement each other. For integration, some sources were better handled in SAP HANA, particularly other SAP systems where Google Big Query was more suitable for various R&D data, such as time series.

Do you think Google BigQuery delivers good value for the price?

Not sure

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

Good for large datasets where query performance is otherwise an issue. It is bad for diverse data sources that are not large enough to really benefit and are overkill. Similar to use cases where many users need to query infrequently, where the minor syntax differences between SQL and Google Big Query can be annoying.

Google BigQuery Feature Ratings

Database scalability
9
Database security provisions
7
Monitoring and metrics
8