The best and only choice for an Analytics Database.
September 24, 2024

The best and only choice for an Analytics Database.

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

Overall Satisfaction with Google BigQuery

We use Google BigQuery as our main analytics database, as a data warehouse. It addresses our need for having all our data, from different sources, be available for analysis and flexible querying.

Pros

  • Storing large amounts of data
  • Querying large of amounts of data
  • Serving as a unifying data source for all kinds of data from different sources
  • Zero devops or infrastructure work required
  • Extremely good value for money ratio

Cons

  • Query syntax is sometimes a little hard
  • Data exploration tooling could be better
  • Reduce the load on our Production DB as we don't run BI queries there anymore
  • Give our customer-facing and product people a very easy interface to understand our data
  • Have a place where all the data is available in one place.
Compared to every other analytics DB solution I've used, Google BigQuery was by far the easiest to set up and maintain, and scale.
The price was also much lower for our use case (internal data analysis).

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

I would 10/10 use Google BigQuery as an analytics DB again and again. It's perfect for it, really easy to use both for sending and ingesting data and also for retrieving and querying the data. It also has lots of integrations in 3rd party products, ranging from visualization to AI, as it is a widespread solution.
I would not use it for a production database, as it has relatively high latency and is priced per query, so it doesn't really work in that scenario.

Google BigQuery Feature Ratings

Database scalability
10
Database security provisions
7
Monitoring and metrics
7

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