Compare Google Cloud SQL vs. SQL Azure

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Most Helpful Review
Find out what your peers are saying about Google Cloud SQL vs. SQL Azure and other solutions. Updated: September 2020.
441,478 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

"The setup was straightforward. Just a couple of clicks, and we were done.""My suggestion to anyone thinking about this solution is to jump into it head-first!""The most valuable features are that it's easy to use, simple, and user-friendly.""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."

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"What is really helpful about the Azure SQL is that when we have a problem with our sound queries, we can trade information about what indexes we should create on tables. It's really helpful for me and also for developers.""The initial setup was straightforward. Deployment takes about one hour.""The initial setup is very easy. It's extremely straightforward.""The stability is good and the performance is fantastic. Even when we try to do an inquiry into issues we can do it easily.""In terms of stability, because Microsoft is the underlying technology, they are much more stable than say Oracle. Since 2014 they did a great job in offering stability, performance and high visibility on the solution, especially in comparison to the other competitors.""This solution offers high availability, and business continuity is in place.""The initial setup was straightforward. It took less than one day for deployment.""The stability is good."

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"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.""I would like to see better integration with all the different tools on the platform.""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."

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"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.""The solution needs to improve its customer network, including its online support.""I need Microsoft to allow their network to access open source technologies.""The initial setup is complex.""It's not a feature, but the solution only offers a certain amount of memory and that's limiting. The scalability should be extended to more than two terabytes.""This solution would be improved with the inclusion of better self-service tools.""The solution could be less expensive. They need to work on their pricing model.""The initial setup was very complex."

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Pricing and Cost Advice
"The pricing is very much an important factor as to why we use this solution.""It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

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"We have a three-year contract. The cost was somewhere around $70-80,000 for the original deployment, which was about two years ago""I'm not sure what the exact price is, but it's a moderate amount. It's not too expensive.""The licensing for this solution is based on subscription.""We pay less than $1000 monthly in licensing fees. There are no additional costs.""It is expensive for us. We are looking for something less expensive and thinking of migrating the whole system."

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Questions from the Community
Top Answer: Ease of management and the ability to oversee the statistics of your SQL.
Top Answer: The advice I would give before starting up is to have a small interactive introductory session with some domain experts because even though it looks quite similar to MySQL and all the other SQL… more »
Top Answer: In my humble opinion, nothing can be improved. It's a good solution as it is. What could be refined however is the ability to have more than just one secondary/replication site. At the moment you can… more »
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Google Cloud SQL is a fully-managed database service that makes it easy to set up, maintain, manage, and administer your relational PostgreSQL and MySQL databases in the cloud. Google Cloud SQL offers high performance, scalability, and convenience. Hosted on Google Cloud Platform, Cloud SQL provides a database infrastructure for applications running anywhere.Microsoft Azure SQL Database is a relational database-as-a-service that delivers predictable performance, scalability, business continuity, data protection, and near-zero administration to cloud developers and solution architects. This is the deep technical library for Azure SQL Database.
Learn more about Google Cloud SQL
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Sample Customers
BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zyncadnymics GmbH, LG CNS, Centrebet, netfabb GmbH, MedPlast, Accelera Solutions, Sochi Organizing Committee, realzeit GmbH
Top Industries
Computer Software Company35%
Comms Service Provider15%
Media Company9%
Financial Services Firm6%
Comms Service Provider30%
Computer Software Company20%
Healthcare Company10%
Pharma/Biotech Company10%
Computer Software Company36%
Comms Service Provider13%
Media Company12%
K 12 Educational Company Or School6%
Find out what your peers are saying about Google Cloud SQL vs. SQL Azure and other solutions. Updated: September 2020.
441,478 professionals have used our research since 2012.
Google Cloud SQL is ranked 2nd in Database as a Service with 4 reviews while SQL Azure is ranked 1st in Database as a Service with 17 reviews. Google Cloud SQL is rated 9.0, while SQL Azure is rated 8.4. The top reviewer of Google Cloud SQL writes "Scalable and cost effective solution for data analysis". On the other hand, the top reviewer of SQL Azure writes "When we have a problem with a query we can trade information about what indexes we should create on tables". Google Cloud SQL is most compared with Google Cloud Spanner, Amazon RDS, Oracle Database as a Service and MongoDB Atlas, whereas SQL Azure is most compared with Oracle Database as a Service, Amazon RDS, MongoDB Atlas, Google Cloud Spanner and ClearDB. See our Google Cloud SQL vs. SQL Azure report.

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