Likelihood to Recommend Although Google Cloud SQL has room for improvement by addressing a minor lack of features, its features and services keep it high among other SQL database products. It is very fast compared to others. Since it is cloud-based, maintenance is also easier. Integration capabilities are also more than expected.
Read full review Less Appropriate Scenario: 1) Small Scale or Low Budget Projects 2) Organizations with limited expertise in cloud technologies may find the learning curve steep, especially if they are not familiar with the IBM Cloud platform 3) If database requirements are highly dynamic and change frequently, the comprehensive features and management provided by IBM Cloud Databases might be overkill. A more flexible, self-managed solution could be preferable for adapting to rapid changes.
Read full review Pros Highly scalable without worrying about sudden transaction explosion during peak hours. Highly available with multiple geographical locations and regions for nearly 0 downtime to the users. Extremely reliable and responsive for high latency applications due to superb networking at the core. Read full review The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up. The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products. Read full review Cons Increasing support for more database engines may enable a wider range of application needs to be met. Implementing and updating cutting-edge security features on a constant basis. Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers. Read full review Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight. Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS. Read full review Likelihood to Renew IBM is our trusted partner which never failed to meet our expectations. Stability, efficiency, usability and security is a must have for our business which is fully provided by IBM Cloud Databases
Read full review Usability Google Cloud SQL is similar to the long existing conventional DBs like Oracle RDBMS, MS SQL Server in terms of usability and much more robust and easy to manage than them. Most of the commands are almost identical to these DB platforms and thus, easy to learn, understand and start using. Also, being highly available, it brings a sense of reliability with Google Cloud SQL.
Read full review It is great the only things I have stumbled upon is the non standard port 80 they use and sometimes expired SSL certificate.
Read full review Support Rating GCP support in general requires a support agreement. For small organizations like us, this is not affordable or reasonable. It would help if Google had a support mechanism for smaller organizations. It was a steep learning curve for us because this was our first entry into the cloud database world. Better documentation also would have helped.
Read full review Support is helpful enough, but we haven't always had questions answered in a satisfactory manner. At one time we realized that Compose had stopped taking database snapshots on its two-per-day schedule, and had in fact not taken one for many days. Support recognized the problem and it was fixed, but the lack of proactive checks and the inability to share exactly what happened has caused us to look elsewhere for production work loads
Read full review Alternatives Considered Google SQL was great as a first SQL provision. It quickly enabled the apps to be built and scaled as needed for a while. It was robust and adaptable as needed and easy to export as needed when ready, depending on growth. Cost-wise, it's a good choice and requires little investment to get going.
Read full review The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.
Read full review Return on Investment With managed database system, it has given us near 100% data availability It has also improved web layer experience with faster processing and authentication using database fields Google Cloud SQL also gels up well with Google Analytics and other analytics systems for us to join up different data points and process them for deeper dives and analysis Read full review Prove use cases prior to administering entire platform, obtain ROI faster Able to achieve the technological components of our advanced analytics team without full scale purchase of AI platform Developed several studies to prove out cloud Db value, speed to deploy Read full review ScreenShots