Best Serverless SQL Database
May 05, 2022

Best Serverless SQL Database

Pablo Albani | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google BigQuery

We use BigQuery as the company's Data Warehousing tool. The transactional information is handled mostly in Firebase and we inform BigQuery of each update or creation event from which we build the status and history tables. In addition, we use it to consolidate data from other external sources, such as Facebook, Analytics, Google Ads, among others.
  • Data Warehousing
  • Sporadic SQL queries without having to manage instances
  • Reporting directly consumed from views
  • A better output data exploration tool
  • Better handling of parquet files
  • An own application with a more comfortable UI than in the browser
  • Cost per consumption
  • Serverless
  • Simple and intuitive UX
  • Development of dashboards and reports at a very low cost
  • Execution of automatic rules in Firebase from queries in Bigquery
BigQuery has a simpler and more intuitive user experience (as is the case with most of its products) compared to AWS, which has a more technical and complex profile, so it was the first tool we used. It's still my go-to option for handling SQL queries, though it doesn't detract from Athenas if the rest of the infrastructure is on AWS.

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An excellent SQL data management tool without having to manage instances or maintain clusters that need to scale. For a startup or organization that wants to implement a data warehouse logic, it is one of the fastest ways to implement, cheapest to maintain and simple to use that I know of in the market.

Google BigQuery Feature Ratings

Automatic software patching
Database scalability
Automated backups
Database security provisions
Monitoring and metrics
Automatic host deployment