Brilliant for data storage, processing, and analysis
April 30, 2021

Brilliant for data storage, processing, and analysis

Ashok Kalra | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Google Cloud SQL

Google Cloud SQL is used across technology, analytics and BI teams to store relational databases, tables, and run queries to fetch data from these databases.

Business problems addressed:
  • Joining data tables from different databases to give a combined view of attributes and records
  • Run SQL queries to fetch raw data and prepare product usage reports on top of it
  • Prepare an automated data API workflow to be sent directly to BI systems to generate automatic reports
  • Very easy to use and migrate existing database systems to Google Cloud SQL system
  • Easy to query with real-time query assessment as well as processing metrics to help optimize the queries
  • No need to learn any other querying language (like in Hadoop ecosystem), as SQL works pretty fine
  • Easy-to-use GCP portal to type in queries and see the results on the screen (no need to go on command line )
  • Easy to set up
  • Lack of latency with quota size increasing
  • Can't customize an instance’s IP
  • Bit more expensive than some other players in the market, for instance, while downloading information
  • With managed database system, it has given us near 100% data availability
  • It has also improved web layer experience with faster processing and authentication using database fields
  • Google Cloud SQL also gels up well with Google Analytics and other analytics systems for us to join up different data points and process them for deeper dives and analysis
Azure SQL Database
Oracle SQL

Biggest reason for selecting Google Cloud SQL is broad ecosystem Google supports in terms of
  • Connecting to varied type of databases
  • Built-in APIs to deliver projects faster
  • Manages services so the teams can focus more on actual work than managing the infrastructure
  • Easy-to-use portal to import data and run queries

Do you think Google Cloud SQL delivers good value for the price?


Are you happy with Google Cloud SQL's feature set?


Did Google Cloud SQL live up to sales and marketing promises?


Did implementation of Google Cloud SQL go as expected?


Would you buy Google Cloud SQL again?


  • Well suited for relational database storage and connections
  • Supports well-built APIs, which ensures easy access
  • Automatic failover (moving an application to a standby Google Cloud SQL server in case an instance fails)
  • Works really well with other Google Cloud products like Compute Engine, AppEngine, Kubernetes, etc.
  • Ensures security and compliance

Google Cloud SQL Feature Ratings

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