Item: Google BigQuery
Rating: 9
Author: Verified User

Overall Satisfaction with Google BigQuery

Use Cases and Deployment Scope

For data analysis by our enterprise data team, primarily. Most activity gets dumped into Google BigQuery in one form or another to support enterprise reporting. We also use it for creating Pub/Sub ledgers, using the Google BigQuery Pub/Sub subscription type. This allows us to debug and research data that has flowed through a topic.

Pros and Cons

Pros

good pricing
SQL for querying
query against JSON in fields

Cons

UI feels dated
JSON querying could be simplified

Return on Investment

support enterprise reporting
cost effective solution for topic monitoring

Alternatives Considered

MongoDB and Elasticsearch

For our usage, Google BigQuery is cheaper and more performant. The others have their place, but in certain scenarios, Google BigQuery is a better solution.

Key Insights

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

Other Software Used

MongoDB Atlas, MongoDB, Elasticsearch

Likelihood to Recommend

Where low cost, low frequency of access is needed for working with large datasets.

Google BigQuery Feature Ratings

Comments

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Good choice for cheap data usage