Fast and scalable database for big data
February 23, 2017

Fast and scalable database for big data

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

Overall Satisfaction with Google BigQuery

[It's being used for] extracting patterns from big amounts of data (millions of rows) with complex aggregations.

Pros

  • Working with big data
  • Performance of both streaming and batch queries
  • Easy to use if you are familiar with SQL

Cons

  • Performance could always be improved
  • Faster data processing
It works well for a big dataset starting from hundreds of GB. I wouldn't recommend using it for people with less than 100 GB in data – except when you expect to grow your dataset in the near future. It's also not really good to directly answer on live requests, it's much better to use it to pre-process some data, store it somewhere else, and serve it from there.

Google BigQuery Feature Ratings

Database-as-a-Service
10.0
Database scalability
10
Automated backups
Not Rated
Database security provisions
Not Rated
Monitoring and metrics
Not Rated
Automatic host deployment
Not Rated

Comments

More Reviews of Google BigQuery

  1. Home
  2. Database-as-a-Service (DBaaS)
  3. Google BigQuery Reviews
  4. User Review of Google BigQuery