We compared SQL Azure and Google Cloud SQL based on our user's reviews in several parameters.
User feedback on SQL Azure highlights its fair pricing structure, seamless integration with Microsoft products, and satisfactory customer service. On the other hand, Google Cloud SQL users appreciate its scalability, ease of use, and efficient customer support. Areas for improvement in SQL Azure include enhancing query performance and reducing costs, while Google Cloud SQL users seek better performance optimization and transparent pricing models. Overall, both products offer reliable database management solutions with their unique strengths and weaknesses.
Features: SQL Azure stands out for its seamless integration with other Microsoft products, scalability, and flexibility in deployment options. On the other hand, Google Cloud SQL is praised for its ease of use, high performance, excellent backup and restoration capabilities, and automated maintenance tools.
Pricing and ROI: The setup cost for SQL Azure is deemed reasonable by users, ensuring a smooth and hassle-free experience. On the other hand, Google Cloud SQL's setup cost is well-managed, ensuring a smooth and hassle-free process. There is no mention of specific differences in the setup cost between the two products., In terms of ROI, SQL Azure received positive and satisfactory feedback from users, while Google Cloud SQL users shared their experiences and outcomes.
Room for Improvement: SQL Azure has room for improvement in the areas of query performance, storage capacity, availability, customization options, and cost reduction. Users also want improved security features and integration with other Azure services. Google Cloud SQL users have suggested enhancements in performance optimization, scalability, availability, monitoring, and management tools. They also recommended more transparent pricing models and improved documentation and support resources.
Deployment and customer support: Based on user feedback, the duration required for deployment, setup, and implementation for SQL Azure is inconsistent. Some users report separate timeframes for deployment and setup, while others view them as the same period. On the other hand, Google Cloud SQL users have varying experiences, with some separating deployment and setup durations, and others considering them as one., SQL Azure has been praised for its highly satisfactory customer service, with users commending the responsiveness, efficiency, and knowledge of the support team. Google Cloud SQL also receives positive feedback for its prompt assistance and efficient issue resolution, with users appreciating the friendly nature of the customer service representatives.
The summary above is based on 45 interviews we conducted recently with SQL Azure and Google Cloud SQL users. To access the review's full transcripts, download our report.
"This is a stable solution and offers good performance."
"The initial setup is straightforward."
"It is not the cool features that I find valuable, it is the stability of Google Cloud Platform."
"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."
"The implementation part of the product was easy."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"Ease of management and the ability to oversee the statistics of your SQL."
"The product is easy to set up."
"The backup features are the most valuable."
"The automated scalability feature of SQL Azure has proven to be highly beneficial, particularly when deployed in the cloud."
"The SQL connector effectively syncs data to our database."
"The initial setup is straightforward."
"SQL Azure can integrate well with other Microsoft Windows services."
"Because the solution is cloud-based it's highly manageable, it makes maintenance of logs, space, storage and backups much easier compared to a traditional SQL server installation."
"What I like the most is the processes and the easiness of deployments."
"Google's technical support is good, but they tend to never reopen a case and to send us snippets from the publicly available documentation. It's not as helpful as you would expect, not just for Google Cloud SQL but for all of Google Cloud products."
"The only thing that could be better is the pricing."
"It is hard to do logging with the solution."
"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."
"The monitoring part could be better."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"The solution can be improved by reducing the constraints available."
"The solution could improve by allowing the export of the data more seamlessly. It is difficult to copy and back up data."
"I need something which is in one place so I can automate the Azure data factory, but it's a different tool. It's not easy and in one place, so I can't switch to the other tool and do something there, automate everything there in the on-prem infrastructure, and then have everything in the agent. I can just pick one packet and use it. However, I want to be able to click it and run it."
"There could be more collaboration with other tools like Data Factory and Databricks."
"There is probably more functionality in our on-prem SQL Server than SQL Azure."
"Lack of flexibility for developers in terms of performance assistance."
"Some issues with scalability."
"Although the solution integrates well into Azure’s ecosystem, it has limited capability and is incompatible with many third-party applications or tools."
Google Cloud SQL is ranked 5th in Database as a Service with 16 reviews while SQL Azure is ranked 2nd in Database as a Service with 90 reviews. Google Cloud SQL is rated 8.4, while SQL Azure is rated 8.6. The top reviewer of Google Cloud SQL writes "An easy-to-use solution with good features and functionality ". On the other hand, the top reviewer of SQL Azure writes "The SQL connector effectively syncs data to databases". Google Cloud SQL is most compared with Amazon RDS, MongoDB Atlas, Oracle Database as a Service, Google Cloud Spanner and Oracle Exadata Cloud at Customer, whereas SQL Azure is most compared with Amazon RDS, MongoDB Atlas, Oracle Database as a Service, Google Cloud Spanner and IBM Db2 on Cloud. See our Google Cloud SQL vs. SQL Azure report.
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