![Reetika P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Reetika P.")
RP

Reetika P.

Quality engineer

Mid-Market (51-1000 emp.)

6/14/2026

"Easy-to-Use Cloud Tool with Shareable, Saved Queries"

4/5

What do you like best about Google Cloud BigQuery?

It’s easy to use, and it’s available on the cloud, so it doesn’t take up hardware space. The best part is that we have the option to save our queries and share them as well. Review collected by and hosted on G2.com.

What do you dislike about Google Cloud BigQuery?

It’s mainly familiar with BigQuery, since its native environment is Google Cloud. Sometimes queries run slowly, especially when working with complex tables. By default, we can only see the first 50 rows, and it really should show more. Also, when we copy the output, we’re only able to copy some of the records instead of the full result set. We can append records, but we can’t update or delete them. Review collected by and hosted on G2.com.

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

I use it for my ETL testing, since we ingest data from Mongo into BQ, and then the main fact tables in the analytical layers are used in Databricks. It benefits me because it runs in the cloud and doesn’t require any hardware space on my side. Overall, the queries work well for my testing needs. Review collected by and hosted on G2.com.

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4.5 out of 5 · Verified reviews from real users

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