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."
"It supports different databases, like Postgres and MySQL."
"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."
"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."
"The valuable feature of Google Cloud SQL is its high availability option. The product is stable."
"What I like the most about Google Cloud SQL is that it handles the management, which allows us to concentrate on our applications."
"The initial setup is straightforward."
"The initial setup was straightforward. Deployment takes about one hour."
"The product is quite stable. The performance is great and it's reliable."
"The solution is a fairly mature product. It provides good stability."
"The reason we moved to the cloud was for the convenience of not having any physical hardware to maintain."
"My impression is that this solution is quite stable."
"Its technical support team is good."
"Customers can benefit from a lot of cost savings if they go for Azure."
"The most valuable feature of SQL Azure is the user-friendly VMs."
"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."
"I would like to see better integration with all the different tools on the platform."
"It is hard to do logging with the solution."
"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 purging of the data could be better."
"Google Cloud SQL still needs better connectivity to outside, existing data sources."
"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."
"It is a little bit expensive for us. They can improve the price. It would also be very helpful if they can offer some free trial."
"The product's pricing needs improvement."
"I want the pricing to be improved."
"One of the nice features in Microsoft SQL Server is the SQL Server CLR, which we sometimes need to use to protect our procedures using C# or CLR. This is not available in the SQL Azure database."
"What would make SQL Azure better is users having the capability of managing the database solution from the cloud, instead of having to do it from an actual machine because currently, database management via SQL Azure is done on a virtual machine or a PC. The solution should have the data functionality of managing SQL databases inside the cloud."
"There is so much information that it becomes confusing at times. The information can be more friendly. They could also provide additional training, especially at the beginning."
"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"
"The pricing plans when using multiple Microsoft solutions are complex and have room for improvement."
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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