Google Cloud SQL Reviews

Name: Google Cloud SQL
Brand: Google
Rating: 4.2 (19 reviews)

Vendor: Google

4.2 out of 5

19 reviews
100% willing to recommend

365 followers

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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 #4 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 19 most recent Google Cloud SQL reviews, the overall sentiment is positive, with a sentiment score of 6.5. (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 16% of all views.

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Featured reviews

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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Uddeshya Kumar

Product Owner at SecLogic Limited

Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets. Additionally, recent updates, such as the optimization feature for Germany, further contribute to improving performance and supporting our AI initiatives. Despite minor areas for improvement, it offers robust features and scalability that make it a valuable asset for businesses seeking efficient data management solutions. Overall, I rate it an eight.

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ScottSHIH

Product Manager at a tech services company with 201-500 employees

I cannot say Google Cloud SQL is good or bad because they have a good ecosystem. Google Cloud SQL is a good choice if you are using other Google services, but it is okay not to use the solution if you are not using the Google Cloud Compute Engine. It is good to use compared to other services, so we are sticking with it.

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Google Cloud SQL mindshare

As of November 2024, the mindshare of Google Cloud SQL in the Database as a Service (DBaaS) category stands at 17.6%, down from 19.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Database as a Service (DBaaS)

Key learnings from peers

Last updated Nov 21, 2024

Valuable Features

Google Cloud SQL offers scalability, ease of management, strong security, and high availability. It supports multiple databases like Postgres and MySQL, allows seamless data migration, and ensures minimal downtime. Users appreciate its stability, cost-effectiveness, and robust data safety. Features such as automatic scaling, multi-region support, and insightful analytics optimize performance and make backups simple. The use of standard SQL features and the cloud infrastructure adds to its appeal, ensuring a reliable experience.

"It directly provides robust data safety. It also offers various other storage options, such as Google Cloud Storage. These services ensure data security and redundancy. Furthermore, it includes different storage classes, allowing flexible data management tailored to specific needs."
"The product is scalable."
"Google Cloud SQL enhances our AI-driven projects by providing features like query optimization and scalability for efficiently processing large datasets."

Room for Improvement

Google Cloud SQL needs improved connectors to external data sources, enhanced multi-replication capabilities, better documentation, a more user-friendly interface, and simplified metric monitoring. Users face challenges with legacy data migration, logging, and data purging. The platform could also benefit from AI integration for security, enhanced data integration with external platforms, better scalability for large media files, improved security with encryption, more regional availability, and more affordable pricing.

"When discussing media files, such as images and audio files, stored in Google Cloud, concerns about handling large amounts of data arise."
"The product's user interface could be more user-friendly to improve the overall user experience."
"They could improve documentation and dashboard stability for efficient user experience and database management."

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

Google Cloud SQL pricing varies, with costs generally affordable but some concerns about enterprise edition pricing and additional backup and replication fees. Licenses are available yearly or monthly, or separately from third-party vendors. Some users find pricing aligns with industry standards, offering significant database management time reduction. However, better documentation is needed to clarify costs and differences between editions. No license is required specifically for Google Cloud SQL use.

"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, managing marketing data, conducting marketing analytics, enabling lift and shift migrations, automating workflows, and integrating with other Google Suite tools for comprehensive data analysis. They implement it in web systems, private VPC environments, and globally distributed microservices. It supports tenant metadata management, BI use cases, and certification preparation, helping ensure accessibility, ease of integration, maintainability, and simplifying backup processes.

Service and Support

Customer service and support for Google Cloud SQL receive positive feedback. Users appreciate the quick responses and helpful assistance, although some mention delays in response and resolution times. Enterprise users suggest improvements for faster response times. While some users haven't needed support, those who have interacted with the support team describe their experience as satisfactory.

Deployment

Users found Google Cloud SQL's initial setup straightforward and easy, with deployment times ranging from a few minutes to several weeks depending on the project's scale. A few encountered complexities with application integration, and maintenance primarily involves backup files. Having more serverless support and comprehensive best practices documentation could improve the setup experience. Generally, the cloud nature of Google Cloud SQL simplifies deployment and minimizes direct maintenance requirements.

Scalability

Google Cloud SQL offers impressive scalability. Users can easily add disc space, nodes, and servers as needed. Many organizations, from small teams to large enterprises, benefit from its ability to scale efficiently. The platform is well-suited for various business sizes and needs, often hosting significant user bases. It is especially effective for enterprises with complex infrastructure requirements, allowing seamless management and adjustment of resources. The graphical interface enhances usability for scaling.

Stability

Google Cloud SQL is widely regarded as a stable and reliable service with good performance. Users appreciate its stability, with occasional minor issues that are quickly addressed. Some users mention the need for more database support and better integration, but it remains popular among organizations like USG and Infosys. It is notable for its lack of bugs or glitches and offers robust support for Postgres databases. Stability ratings typically range from seven to eight out of ten.

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.