Easily Managed Data Warehouse Delivered At Scale
Updated February 28, 2020

Easily Managed Data Warehouse Delivered At Scale

Cameron Gable | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google BigQuery

BigQuery is used by our Data Science team to do complex queries on large datasets. We have hundreds of terabytes of data and needed a scalable solution that would be able to query our entire biological dataset. BigQuery plays a crucial role in our data lake made up of several Google Cloud data solutions.

Pros

  • Highly scalable data warehouse
  • Easily integrated into analytics tools like Data Studio
  • Easy to use with SQL support

Cons

  • Can be pricey. There are ways to lower costs but they aren't always straightforward.
  • We are able to query our entire dataset without worrying about sharing.
  • BigQuery significantly cuts down query time.
Google Cloud BigQuery was our first and last choice for a data warehouse. It serves all of our needs!
We haven't needed support as of yet.

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

We have several hundred terabytes of data and the size of our dataset is exponentially increasing. We needed a data warehouse that is highly scalable. We also serve a user base with several dashboards. BigQuery is great because it integrates nicely with Google Data Studio and other analytics products.

Google BigQuery Feature Ratings

Database-as-a-Service
9.3
Automatic software patching
10
Database scalability
10
Automated backups
8
Database security provisions
8
Monitoring and metrics
10
Automatic host deployment
10

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