Service and Support
Many users find Google Cloud SQL customer service responsive, offering good communication and prompt replies. However, some mention delays in resolution and challenges in issue handling. While some rate support highly, others feel it is expensive compared to AWS and lacks effectiveness due to AI reliance. Enterprise users note longer wait times despite satisfactory experiences. The need for improved service is highlighted, especially for complex, priority issues.
Deployment
Users found Google Cloud SQL's initial setup to be straightforward and quick, often taking just a few minutes to complete. Most appreciated the ease of use, highlighting simple configuration within the Google Cloud environment. While deployment was relatively fast, some encountered challenges integrating it with certain applications. Despite minor complexities, especially for larger implementations, many valued the minimal maintenance requirements and found the setup process similar to other platforms like AWS and Azure.
Scalability
Users agree Google Cloud SQL is highly scalable, with flexibility to adjust resources like nodes, servers, and memory. While most users praise its scalability, there are mixed experiences with read query performance. Many businesses utilize it due to its scalability features, supporting large numbers of users efficiently. Companies often plan to scale usage, enjoying the ability to meet growing demands easily, thanks to its robust features and infrastructure. It is rated highly for scalability by users.
Stability
Google Cloud SQL is frequently praised for its stability and reliability, highlighted by minimal bugs or glitches. Many users, including prominent organizations, find it performs well without crashes or freezes. Occasional stability issues are addressed effectively by support teams. With performance rated often between seven to eight out of ten, there is a recognized need for improved database support. Maintenance alerts are appreciated, ensuring operational continuity.
