Overall Satisfaction with Google BigQuery
We use BigQuery as our data warehouse to store a large part of our data. We also use BigQuery to normalize, tie together, and prepare data for data visualization. It allows us to tether disparate data sources to create analyzable and comprehensive KPIs at granular and high-level layers.
- Storage
- Error Checking.
- Organization
- Global Query Search.
- Query Scheduling.
- UI Speed.
- Querying expenses are not always straightforward.
- Very reasonable price for storage.
- Native integrations are very helpful.
I was already familiar with the Google Cloud Platform environment, and I was better equipped with the standard SQL language. Some of the syntax does not translate well to Redshift. It also seemed like many data source integrations relevant to our business were easier and more readily available for BigQuery versus Redshift.
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