I like the way Google Cloud SQL is designed. It's very simple and easy to start using. You don't need to be an expert, just understand how to use any product. It's very user-friendly and convenient. It also lets you see what's in the different sections, and the tutorials are absolutely fine. I like that a lot. Review collected by and hosted on G2.com.

I haven't created any SSRS packages using Google Cloud SQL because it's too tedious. Sometimes it also takes time to create a service package if it's a stored procedure or something like that. I heard it from some people, and honestly, I didn't find it that appealing, and it can be improved. Review collected by and hosted on G2.com.

I like that there are several different database types that can be used within it, it allows for more freedom and better architectural design based on needs. Review collected by and hosted on G2.com.

I feel that the billing of this product is a bit difficult to understand. It's hard to understand how exactly the cost is calculated and what it is made up of. Review collected by and hosted on G2.com.

I really appreciate how easy it is to set up and manage Google Cloud SQL. The automated backups and seamless scaling are incredibly helpful. Knowing our data is backed up regularly without manual effort gives us peace of mind, and being able to handle traffic spikes without downtime is a big plus. Integration with other Google Cloud services also makes it very reliable and saves us a lot of operational time. The initial setup was straightforward, and the clear documentation made the process smooth, from provisioning an instance to setting up backups and high availability. Review collected by and hosted on G2.com.

One area that could be improved with Google Cloud SQL is pricing transparency — costs can increase quickly as storage and instance sizes scale. Also, deeper performance tuning options and more granular monitoring insights would be helpful, especially for more complex or high-traffic workloads. I'd like more granular control over performance parameters without needing workarounds or downtime. For example, clearer visibility into query-level resource consumption and more flexible tuning of memory and connection limits would help optimize performance more precisely. On the monitoring side, deeper real-time insights and more customizable alerts would be valuable. While the current metrics are helpful, having more detailed breakdowns (like per-query latency trends and clearer bottleneck identification) would make troubleshooting faster. It would also be great to see more built-in performance recommendations tailored to workload patterns. Review collected by and hosted on G2.com.

I love that Google Cloud SQL eliminates the need to manage infrastructure, which is a huge relief. I find it easy to use and simple, which makes my work smoother. The high availability and maintenance features significantly reduce risk and operational time. I appreciate its integrations with other Google services like BigQuery, as these make deployments and scaling straightforward. Ensuring ACID transactions and having automatic backups are essential features for me. Setting it up was very simple and close to managing our own SQL database, which was a pleasant surprise. Review collected by and hosted on G2.com.

I think pricing transparency and cost optimization tools could be better. Pricing should be more granular and easy to forecast. Right now, we get estimates across compute and storage, egress among others. We would prefer to have a real-time cost simulator that models total monthly cost based on previous usage patterns. Review collected by and hosted on G2.com.

I like how seamless it is to transform and manipulate multiple data tables from multiple sources using Google Cloud SQL. It helps me locate and analyze data very quickly and easily, making my day-to-day job much easier. The initial setup was very easy and seamless, allowing me to get started with my credentials within a few days of starting. I find Google Cloud SQL impressive in how it stores and is able to transform data into actionable insights, and it is a very scalable tool. Review collected by and hosted on G2.com.

Sometimes it can be difficult integrating other pipelines using different coding languages, this would definitely help give it more of an edge. Review collected by and hosted on G2.com.

I use Google Cloud SQL to run and manage databases like MySQL for cloud applications without having to maintain the database infrastructure. It handles backups, updates, scaling, and high availability, which save me a lot of time and reduce operational effort because I don't have to manually manage database maintenance or worry about sudden increases in traffic. It's fully managed, so tasks like backups and scaling are handled automatically. The initial setup was easy and helpful. Review collected by and hosted on G2.com.

It can be costly for large or high traffic databases and offers limited flexibility for advanced configuration or performance tuning. It could be improved with more granular performance tuning. Review collected by and hosted on G2.com.

I like how easy it makes managing databases. Setup, scaling, and backups are straightforward, so I don’t have to worry much about ongoing maintenance. Review collected by and hosted on G2.com.

Sometimes the pricing can be confusing, especially when usage spikes unexpectedly and it’s hard to predict the impact. Also, some of the more advanced configuration options feel a bit limited compared with running and managing your own database server. Review collected by and hosted on G2.com.

I use Google Cloud SQL primarily for database querying, and I appreciate its faster retrieval of data, which is crucial for my day-to-day activities involving querying, writing complex queries, and creating tables. The scalability of Google Cloud SQL stands out to me, as it allows me to easily adjust resources up and down on demand to match the fluctuating needs of my application. Additionally, I found the initial setup to be good. Review collected by and hosted on G2.com.

I don't like the limitations on connection with Google Cloud SQL. Cloud Run container instances are limited to 100 connections per cloud database. Review collected by and hosted on G2.com.

I appreciate the effortless integration of Google Cloud SQL and how it significantly reduces operational overhead. I find the fully managed automation of routine admin tasks to be incredibly valuable. The initial setup was easy, and I enjoy the stress-free process. Despite having spent years with AWS, my first trials with Google Cloud SQL were great, especially in terms of configuration and networking. Review collected by and hosted on G2.com.

The pricing can be a double-edged sword. While it starts as a cost-effective solution for small projects, costs can escalate rapidly as one scales up CPU, memory, and especially storage with high traffic workloads. Review collected by and hosted on G2.com.

Google Cloud SQL provides a reliable and easy way of setting up databases for my product. It is also easy to integrate with other platforms required for my project. Scaling and traffic management can also be managed very easily with Google Cloud SQL. Review collected by and hosted on G2.com.

The cost of high-availability instances sometimes geta bit high for smaller projects. Review collected by and hosted on G2.com.