Google Cloud SQL Reviews

Name: Google Cloud SQL
Brand: Google
Rating: 4.2 (21 reviews)

4.2 out of 5

21 reviews
100% willing to recommend

367 followers

What is Google Cloud SQL?

Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.

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Google Cloud SQL is the #5 ranked solution in top Database as a Service vendors. PeerSpot users give Google Cloud SQL an average rating of 8.4 out of 10. Based on the analysis of the 21 most recent Google Cloud SQL reviews, the overall sentiment is positive, with a sentiment score of 6.9. (Among the lowest in the category). Google Cloud SQL is most commonly compared to Amazon RDS: Google Cloud SQL vs Amazon RDS. Google Cloud SQL is popular among the large enterprise segment, accounting for 62% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 15% of all views.

Helped 823,875 peers since 2012

Featured reviews

Prathap Sankar

Analytics Delivery Manager at Tredence Inc.

I am majorly working in Google Cloud SQL for building my applications Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed. The deployment model allows for…

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PradeepKumar2

Senior Software Engineer at Accenture

The solution is easy to use. I am impressed with the tool's features and functionality. I would like to see better availability of the product in different regions. It should also improve the security with encryption. I have been using the product for six years. I would rate the product's…

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Luca Botti

Partner at Red software systems

Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective. It offers a no-brainer option for development and release solutions. From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues. Automated scaling is available to enhance performance when traffic increases, making it a reliable choice.

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Google Cloud SQL mindshare

As of December 2024, the mindshare of Google Cloud SQL in the Database as a Service (DBaaS) category stands at 17.2%, down from 19.4% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Database as a Service (DBaaS)

PeerAnalyst reports

Type	Title	Date
Category	Database as a Service (DBaaS)	Dec 18, 2024	Download
Product	Reviews, tips, and advice from real users	Dec 18, 2024	Download
Comparison	Google Cloud SQL vs Microsoft Azure SQL Database	Dec 18, 2024	Download
Comparison	Google Cloud SQL vs Amazon RDS	Dec 18, 2024	Download
Comparison	Google Cloud SQL vs MongoDB Atlas	Dec 18, 2024	Download

Title	Rating	Mindshare	Recommending
Amazon RDS	4.2	25.9%	98%	53 interviews Add to research
Microsoft Azure SQL Database	4.3	17.3%	96%	115 interviews Add to research

Valuable Features

Google Cloud SQL is valued for its automated backups, easy management, and seamless integration with other GCP services. Users appreciate its scalability, high availability, and cost-effectiveness. The platform's stability, quick setup, and straightforward database management reduce the need for specialized expertise. Its support for multiple database types, automatic scaling, and robust data safety features contribute to enhanced performance and flexible data management. Multi-region support and insightful analytics further optimize user experience.

"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."
"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."
"Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed."

Room for Improvement

Google Cloud SQL faces challenges with public IP exposure, limited MySQL clustering, and a not-so-intuitive user interface. Integration with other tools and better support for analytics are needed. Enhancements in documentation, pricing, and data management would be beneficial. Regional availability, data security, log extraction, and scalability for large media files require improvement. AI integration, specifically for security and data analysis, is requested. Improved customer support and flexibility for extensions can enhance the experience.

"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL. This would enhance the capabilities of Google Cloud SQL."
"I would appreciate more flexibility with specific extensions applicable to engines like PostgreSQL."
"The performance compared to AWS is not as fast, and the technical support could be better as they don't have a dedicated team, but mostly AI handles the support now."

ROI

Users report significant cost savings and streamlined operations from using Google Cloud SQL. The automated backups and easy integration are highlighted as factors that contribute to high productivity and reduced downtime. Users also mention that quick scalability meets demand spikes efficiently. The intuitive user interface simplifies management tasks and accelerates deployment processes. High availability and strong security measures are appreciated for safeguarding data and ensuring reliability. Increased performance and lower maintenance overhead are frequently noted.

Pricing

Enterprise users generally find Google Cloud SQL pricing reasonable, with no licensing costs involved. While slightly more expensive than Google Compute Engine, it offers competitive pricing compared to AWS and is cheaper than Azure. Some users report additional costs for backup and replication. Though documentation may lack clarity in some areas, the overall price aligns with industry standards, considering the service quality and features, making it a cost-effective choice despite initial setup recommendations.

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."
"It is not expensive, especially considering the significant reduction in database management time."
"The solution is affordable."

Popular Use Cases

Organizations primarily use Google Cloud SQL for hosting databases for applications, real-time communication software, marketing analytics, and lift-and-shift migrations. It supports both internally and externally facing systems, facilitates workflow and state management, and aids in automation, data analysis, and AI development. Users value its efficiency, user-friendliness, global accessibility, and seamless integration with other Google Suite tools for data storage, management, and analysis.

Service and Support

Users experience varied customer service with Google Cloud SQL. Many feel satisfied with quick responses and effective support, though some note delays and reliance on AI. Certain issues arise with case resolution and comprehensive assistance. Several users report good interactions, yet some suggest the need for improved service for enterprise customers. While some have not needed assistance, there is feedback on the limited availability of resources and inefficiencies in fixing issues.

Deployment

Users found Google Cloud SQL's initial setup straightforward and quick, often taking only a few minutes. Some needed more time due to integration complexities or team involvement. While generally easy, improvements like serverless support and better documentation could enhance the experience. Setup involves configuring DB capacity and attributes within Google Cloud, with no need for uploads. Some users face challenges in integrating with other applications, yet maintenance requirements remain minimal.

Scalability

Many users attest to Google Cloud SQL's scalability, highlighting its adaptability and suitability for diverse needs. It can efficiently manage write operations, scale by adding nodes or disk space, and handle large user volumes. Some mention ease of use for medium-sized enterprises and compatibility with enterprise requirements. While write operations perform well, read operations may experience latency with large datasets. Users appreciate its infrastructure, automated scaling, and graphical interface for handling increased traffic.

Stability

Google Cloud SQL is described as highly stable by most users, with no significant bugs or crashes. Some highlight its reliability and good performance, while a few mention minor stability issues, often quickly resolved by Google support. Users rate its stability between seven and eight out of ten. While generally positive, some desire more database support, noting past integration issues with PostgreSQL. Organizations like USG and Infosys trust it widely.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

Download our Google Cloud SQL Buyer's Guide for additional reliable information.