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Google Cloud SQL

Google Cloud SQL

Overview

What is Google Cloud SQL?

Google Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.

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Recent Reviews

Great cloud db offering

9 out of 10
March 06, 2024
Incentivized
Google Cloud SQL (MySQL) is used as the relational data store for our product. The ability to scale up, have read replicas, and have …
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SQL management for everyone

9 out of 10
July 05, 2021
We are using Google Cloud SQL as a managed service for R&D. We wanted to focus on the data without the need to manage the updates or …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 6 features
  • Automated backups (19)
    9.5
    95%
  • Database security provisions (19)
    9.2
    92%
  • Database scalability (19)
    9.0
    90%
  • Monitoring and metrics (18)
    8.5
    85%

Reviewer Pros & Cons

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Pricing

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License - Express

$0

Cloud
per core hour

License - Web

$0.01134

Cloud
per core hour

Storage - for backups

$.08

Cloud
per month per GB

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://cloud.google.com/sql/pricing?ut…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services
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Product Demos

Connecting Google Sheets to Cloud SQL using Apps Script

YouTube
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Features

Database-as-a-Service

Database as a Service (DBaaS) software, sometimes referred to as cloud database software, is the delivery of database services ocer the Internet as a service

9.1
Avg 8.7
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Product Details

What is Google Cloud SQL?

Google Cloud SQL is a fully-managed managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems.

Google Cloud SQL Features

Database-as-a-Service Features

  • Supported: Database scalability
  • Supported: Automated backups
  • Supported: Database security provisions
  • Supported: Monitoring and metrics

Google Cloud SQL Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Google Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.

Azure SQL Database, Amazon Relational Database Service (RDS), and Microsoft SQL Server are common alternatives for Google Cloud SQL.

Reviewers rate Automatic software patching highest, with a score of 9.6.

The most common users of Google Cloud SQL are from Mid-sized Companies (51-1,000 employees).
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Comparisons

View all alternatives
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Reviews and Ratings

(76)

Attribute Ratings

Reviews

(1-17 of 17)
Companies can't remove reviews or game the system. Here's why
Hemant Chaturvedi | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It is cheaper than other cloud giants for the minimum instances and upfront capital investment requirement. It offers decent pricing for long-term usage on moderate or even high-spec instances (comparable to AWS and far better than Azure). Many more available resources are deployed worldwide than other cloud giants combined, and one can see that based on the availability of applications and resources, especially in 2023 when multiple outages were experienced where other cloud giants were managing the backend.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Google SQL was great as a first SQL provision. It quickly enabled the apps to be built and scaled as needed for a while. It was robust and adaptable as needed and easy to export as needed when ready, depending on growth. Cost-wise, it's a good choice and requires little investment to get going.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Unlike other products, Google Cloud SQL has very flexible features that allow it to be selected for a free trial account so that the product can be analyzed and tested before purchasing it. Integration capabilities with most of the web services tools are easier regarding Google Cloud SQL with its nature and support.
Score 10 out of 10
Vetted Review
Verified User
When comparing cost, Google Cloud SQL typically offers a more straightforward and versatile plan than Azure SQL Database. Cloud SQL for PostgreSQL is a serverless solution provided by Google Cloud SQL that automatically modifies resources according to workload. For customers who are already familiar with the Google Cloud Platform, in particular, Google Cloud SQL is highly regarded for its ease of use.
Alok Pabalkar | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
- AWS RDS and Aurora is a just a notch above Google Cloud SQL as it provide boost in performance when required
- Google Cloud SQL Mysql Engine is Cloud based and better than native Mysql as it provides management of the server out of box
- Compared to a MongoDB it has a low learning curve and faster to take applications from MVP to Production
Score 9 out of 10
Vetted Review
Verified User
Incentivized
The Google Cloud SQL offering fits into our development stack and was a clean replacement for our MySQL database. If we had been using SQL Server instead, then the offering from Azure would have made more sense. I have used both in the past and both work well, with GCP being a little less expensive.
Score 8 out of 10
Vetted Review
Verified User
At first, we choose Google Cloud SQL only for demo purposes. It is so easy to set up and It is fully managed. we have worked with Azure SQL as well but Google SQL is more simple to use and It fully secure, reliable, provides high availability, and very Low Latency.
Niloofar Keshvari Nia | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Easier learning, simple features and settings with a very user-friendly application environment and flexible prices make Google Cloud [SQL] a pioneering option over competitors
Ashok Kalra | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
IBM DB2
AWS RDS
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
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Google Cloud SQL is just as good as the other guys. We were already invested in GCP, which made the choice very easy. We did not want to start fresh in AWS or Azure. We used our existing GCP setup and just added Cloud SQL. It's unfortunate that companies continue to send people to AWS when Google's offerings are just as good or better.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
There are many options for cloud-hosted dedicated SQL instances. In many ways, simply moving from software and server-based database to a dedicated cloud database is just generally good. All hosts provide some sort of scaling and backup, and all separate the server management from database administration.
Google Cloud SQL is very straightforward and easy to use. Once a SQL instance is created, there are easy to follow guides for getting connected and adjusting basic features.
The real benefit of using Google's services over another provider comes into play for anybody already using other Google Cloud services. Management is easy since all Google Cloud resources can be accessed from a single console web interface. Perhaps most importantly, communications between cloud resources are more secure since they don't go over the public internet, and they generally avoid incurring networking charges.
Leonel Quinteros | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Google Cloud SQL is very similar to other cloud provider options. AWS and DigitalOcean are direct competitors, While Azure is focusing on their own products. At cloud provider level, it's a matter of choosing the provider, and this product will not play a significant role on that decision.

Now, between this and managing my own DB instances, only reasons to do that are if I need a DB vendor not available, if doing that will reduce operational costs significantly, or if I need to have full control over my data for regulatory or confidentiality reasons.
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