My review on Google's BigQuery
May 04, 2024

My review on Google's BigQuery

Anonymous | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google BigQuery

We are using Big Query to store metric data of our chatbot. It helps to get all the data in a single place and its easy to manage. The data is generated by the chatbot every time so we needed a scalable, cost-effectiveness and fast data processing database, thats why we use big query for it. Its integration with other software are also easy to do with lots of documentation.

Pros

  • storage of structured data
  • query execution speed
  • volume of data stored and processed
  • availability and latency

Cons

  • cannot delete new data due to streaming, i have to wait some time to delete new data
  • the UI can be improved
  • not able to see all data in a single page
  • pay-as-you-go pricing model ensures cost-effectiveness
  • can process high volume of data which saves time and money
  • availability is very good, which impact the business
Its same as compared to Big query. We go with big query because of clients requirements in project.

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?

I wasn't involved with the selection/purchase process

Did implementation of Google BigQuery go as expected?

Yes

Would you buy Google BigQuery again?

Yes

Use it if you have to process large data and complex query in short time. The pay-as-you-go pricing model ensures cost-effectivenes. If you need low latency use it.

Google BigQuery Feature Ratings

Database scalability
10
Database security provisions
9
Monitoring and metrics
9

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