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.
"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 setup was straightforward. Just a couple of clicks, and we were done."
"Its most valuable feature is that it's scalable. I can start off with a base of a lot of data and move as much as I want and it's the same as if asked to do a lot of infrastructure changes."
"Ease of management and the ability to oversee the statistics of your SQL."
"The initial setup is straightforward."
"It's SQL. SQL is so easy if you know something about databases. It's easy to learn."
"My suggestion to anyone thinking about this solution is to jump into it head-first!"
"The solution is easy to use. I am impressed with the tool's features and functionality."
"Cost savings are the most valuable. The DR/high availability is also valuable. The failover group with the built-in DR/high availability features is probably one of the easiest things."
"The most valuable feature is PolyBase."
"The product is easy to set up."
"The backup solution in Azure is great, the firewall settings in SQL are very easy to use and work very well. Additionally, the turning process is very good and has improved the SQL services and queries."
"The solution is a fairly mature product. It provides good stability."
"We have multiple applications running for our customers that we can integrate into Azure SQL."
"The data availability and speed are impressive, especially compared to legacy systems. The loading speeds are much faster on Azure SQL."
"The stability is good and the performance is fantastic. Even when we try to do an inquiry into issues we can do it easily."
"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 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."
"The monitoring part could be better."
"For data analysis, the AI area of the product has certain shortcomings where improvements are required."
"The customer support should be improved."
"I would like to see better availability of the product in different regions. It should also improve the security with encryption."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"I am yet to explore a lot of features that are present in this solution. However, it would be good if more documentation is available for this solution. This would help us in preparing for the certification exam and understand it better. Currently, we don't have much documentation. We do the labs for 20 or 25 minutes, but we can't capture and download anything."
"Lacking in technical documentation."
"I think that the cost management in SQL is not clear because we may use some tax to identify products, but in some cases identifying the transactions in SQL is not easy for some financial cost centers."
"Lack of flexibility for developers in terms of performance assistance."
"The user interface (UI) could be more flexible."
"If it's a transitional system, there is a lot of reporting, so the solution becomes a bit slow when it's churning out tons of data, but it's good for a mid-sized application"
"Integration needs to be improved for this solution."
"Although the solution integrates well into Azure’s ecosystem, it has limited capability and is incompatible with many third-party applications or tools."
"The solution could improve by allowing the export of the data more seamlessly. It is difficult to copy and back up data."
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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