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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 …
Continue reading
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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 (24)
    9.4
    94%
  • Database security provisions (24)
    9.2
    92%
  • Database scalability (24)
    9.0
    90%
  • Monitoring and metrics (23)
    8.6
    86%

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

Choosing a PostgreSQL database on Google Cloud

YouTube

Database Configurations with Google Cloud SQL

YouTube

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 relational database service for MySQL, PostgreSQL, and SQL Server. Google states more than 95% of Google Cloud's top 100 customers use Cloud SQL to run their businesses.

Fully managed

Cloud SQL automates backups, replication, patches, encryption, and storage capacity.


Open and standards-based

Cloud SQL supports the most popular open source and commercial engines, including MySQL, PostgreSQL, and SQL Server with support for extensions, configuration flags, and popular developer tools. The user can create a database with a few clicks in the console and connect an application.


Cost-effectiveness

Users can scale with application growth, customize machine types, and choose different levels of performance and availability, up to a 99.99% availability SLA. Committed use discounts offer additional savings for one to three year commitments.


Intelligent insights and manageability

Displays AI/ML-driven insights and recommendations for performance, security, reliability, and cost. Database performance issues are displayed and managed through pre-built dashboards and visual query plans using Cloud SQL Insights. Cloud SQL with Active Assist uses advanced analytics and ML to identify over-provisioned and idle instances in a fleet and sends alerts when they are needed.

Gemini in Databases

AI-powered assistance is included to simplify database management. Gemini in Cloud SQL, in preview, enables developers, operators, and database administrators to build applications quickly using natural language, and helps manage, optimize, and govern an entire fleet of databases with a single pane of glass.

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 Screenshots

Screenshot of migrating to a fully managed database solution - Self-managing a database, such as MySQL, PostgreSQL, or SQL Server, can be inefficient and expensive, with significant effort around patching, hardware maintenance, backups, and tuning. Migrating to a fully managed solution can be done using a Database Migration Service with minimal downtime.Screenshot of data-driven application development - Cloud SQL accelerates application development via integration with the larger ecosystem of Google Cloud services, Google partners, and the open source community.

Google Cloud SQL Videos

Cloud SQL in a minute
What is Cloud SQL?
Introducing Cloud SQL Insights

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

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Reviews and Ratings

(80)

Attribute Ratings

Reviews

(1-6 of 6)
Companies can't remove reviews or game the system. Here's why
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Google Cloud SQL database API makes it easier to integrate and use database services in any application with any programming language. it works well with existing widely available JPA and GCP has well maintained library which we can directly use to integrate Google Cloud SQL in our application with existing build tools like maven and gradle
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Google Cloud SQL has a great catalogue of integrations both within Google Cloud and outside as well. Google Cloud SQL has a great advantage in that it supports all native SQL dialects, hence it supports all the newer features that they supports. Postgres recently released PGVector a vector database for model embeddings and Google Cloud SQL already supports.
Priyanshu Rastogi | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
The documentation of Google Cloud SQL is easy to understand. Have integerated Django application with the Google Cloud SQL. It has a open source client which makes it easy to integerate. The monitoring and logging service makes it easier to integerate other applications
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Very easy to integrate because it is same as your hosted SQL (apps can use ORM library or direct SQL query to connect). We just need to make sure we connect securely using TLS if using public IP or if we host the app also in GCP, we can connect using private connectivity.
Hemant Chaturvedi | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Although Google is the newest among the top 3 cloud service providers (AWS, Azure and GCP), it has shown tremendous integration capabilities surpassing even the other two in many ways.

Options of integrating it with almost all other popular platforms and services via its APIs is super easy. One can achieve this via the API page or using CloudShell in the GCP console.
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