Querying TBs of data in seconds without any issues!
March 11, 2020
Querying TBs of data in seconds without any issues!
Score 10 out of 10
Vetted Review
Verified User
Overall Satisfaction with Google BigQuery
It is our main data warehouse. It contains raw data and aggregated data. This is also used for aggregation by running scheduled queries on it.
With flat pricing, we are able to optimally use it for aggregation, storage, and exploration.
BI tools use BigQuery for data exploration.
With flat pricing, we are able to optimally use it for aggregation, storage, and exploration.
BI tools use BigQuery for data exploration.
- Query performance is awesome.
- Fully managed.
- Can be used for all batch jobs or aggregations.
- Query pricing is still higher if we don't take flat pricing which is high.
- Storage pricing is also counted.
- It do not handle external dependencies.
- We are fully data driven.
- Productivity is increased.
- Manageability is minimal.
- Pricing is slightly high.
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?
Yes
Did implementation of Google BigQuery go as expected?
Yes
Would you buy Google BigQuery again?
Yes