Best scaled engineering/analytical data service available
December 13, 2021

Best scaled engineering/analytical data service available

Richard Atkins | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google BigQuery

Data warehousing. Streaming and batch ingest of files and APIs. Implementing business logic, combining data from different sources, reformatting, reporting, and optimization automation
  • Standard SQL
  • Scale
  • RDBMS-like features
  • Python library support
  • Reliability
  • Python library authentication simplification
  • multi-transaction ACID compliance
  • Reduced time to market of features compared to legacy warehouse
  • Improved engineer productivity
  • Simplified TCO
  • Improved data security
The web UI, general features, libraries, and integration with other products is continuously improving and already very strong

Do you think Google BigQuery delivers good value for the price?


Are you happy with Google BigQuery's feature set?


Did Google BigQuery live up to sales and marketing promises?


Did implementation of Google BigQuery go as expected?


Would you buy Google BigQuery again?


web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2
Requests and escalation are often quickly acted, however usually done through specific individuals instead of teams, therefore continuity may not always be smooth.
Well; data warehousing transformation flexible ingestion

Google BigQuery Feature Ratings

Automatic software patching
Database scalability
Automated backups
Database security provisions
Monitoring and metrics
Automatic host deployment
Not Rated