![Aayush M.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Aayush M.")
AM

Aayush M.

Data Engineer - L3

Information Technology and Services

Mid-Market (51-1000 emp.)

4/16/2026

"Scalable, Secure BigQuery That Connects Seamlessly Across Services"

5/5

What do you like best about Google Cloud BigQuery?

Best thing about Bigquery is its scalability and managed service provided by GCP(Google cloud platform), it can connect seamlessly with almost all services available in the market whether it is on premises or cloud based. It is one of the largest Data warehouse which also comes up with Data Lakehouse feasibility. I also like about its security features like policy tags and authorized view. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

I don't think there is anything I don't like, maybe they need to work on estimated cost feature while running any query, sometime it doesn't show the memory associated with that and as its analytical warehouse, so real time update is not possible like transactional database, maybe in future they can add those features as well Review collected by and hosted on G2.com.

What problems is Google Cloud BigQuery solving and how is that benefiting you?

In current scenario, all our data sinks are stored in Bigquery or external tables linked with Bigquery becasue its so easy todo any analysis on top of Bigquery and also further it seamlessly connect with Looker for detailed analysis. Now days, we also started to leverage their model creation capability on the data stored in Biglake managed table or Bigquery table. Ultimately it really helps to build end to end pipeline without worrying about storage and scalling. Review collected by and hosted on G2.com.

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